Recently, 40 ZOOMLION ZT160HEV new energy mining trucks equipped with CIDI's (03881) fully self-developed autonomous driving system were successfully delivered at a mining area in Xinjiang. This brings the total number of CIDI's autonomous mining trucks deployed in this mine to over 120 units. This marks another milestone for CIDI in achieving scaled implementation within the smart mining sector, demonstrating not only the maturity and reliability of its technical solutions in extreme environments but also underscoring the high level of trust from leading industry clients in its autonomous capabilities. The powerful collaboration between these two leading smart manufacturing enterprises from Changsha has successfully established a local industrial cooperation model of "Artificial Intelligence + High-End Manufacturing," providing a vivid example for the development of Changsha's advanced manufacturing cluster. The large coal mine hosting this project is a core production capacity reserve base for Xinjiang's "Coal Transport Out of Xinjiang" strategy, holding significant strategic importance for ensuring national energy security. Its unique operational environment and massive production demands impose extremely high requirements for technological advancement, system stability, and engineering implementation capabilities. The delivery of these 40 autonomous mining trucks is the result of deep collaboration and joint攻坚 between CIDI and ZOOMLION. The ZOOMLION ZT160HEV hybrid mining truck is deeply integrated with CIDI's autonomous driving system and has now officially commenced stripping operations, achieving efficient 24/7 uninterrupted work. Behind this delivery lies a direct confrontation with extreme environments and technical limits, serving as a concentrated demonstration of CIDI's core technological strength. The mining area is located deep within the Gobi desert, where winter temperatures can plunge to nearly -30°C. Such low temperatures readily cause common industry challenges like sensor failure, battery performance degradation, and delayed responses from wire-controlled systems. Furthermore, dust generated by mining operations severely obscures visual sensors and LiDAR, directly impacting environmental recognition accuracy and posing severe challenges to the autonomous driving system. To address the extreme cold, CIDI implemented targeted hardware upgrades, selecting specialized low-temperature resistant sensors and core components, paired with customized heating and protection modules. This fundamentally resolves low-temperature adaptability issues at the hardware level, ensuring core components like sensors and wire-control systems remain stable even at extreme lows of -30°C. Confronting dust interference, CIDI leverages a multi-redundant perception solution that fuses the complementary advantages of LiDAR, millimeter-wave radar, and visual sensors. This is augmented by self-developed dust filtration algorithms, effectively penetrating dust obstructions to achieve precise identification and stable positioning of obstacles, work routes, and the surrounding environment, thereby solving the perception challenges posed by恶劣 weather. Even more notably, CIDI has successfully implemented the large-scale cluster operation of autonomous vehicles at this mine. CIDI's self-developed cluster dispatch system can intelligently plan the optimal route for each mining truck based on real-time road conditions and task priorities within the mine, dynamically coordinating vehicle interactions like passing, yielding, loading, and unloading to effectively avoid congestion. Simultaneously, the system supports coordinated platooning of multiple vehicles, using low-latency vehicle-to-vehicle communication to transmit operational commands, ensuring consistency and safety within the convoy. Compared to traditional manual driving, this cluster operation not only significantly reduces labor costs and safety risks but also achieves a marked improvement in transportation efficiency. Bolstered by its fully self-developed technological foundation, robust engineering implementation capabilities, and deep understanding of mining application scenarios, CIDI is using this benchmark project as a lever to accelerate the deep penetration of autonomous driving technology across the entire mining sector, helping to propel traditional mining full-speed into an intelligent era characterized by safety, efficiency, and low carbon emissions.