en.Wedoany.com Reported - Breaton held an autonomous driving large model launch event in Xinjiang, officially unveiling its large model designed for mining scenarios and elaborating on its "Computing-Electricity Dual-Drive" strategic framework. This launch represents a concentrated showcase of Breaton's AI system capabilities for mining, built upon its long-term accumulation in new energy mining equipment, photovoltaic-storage-charging microgrids, and autonomous operation technologies, marking new progress in the company's strategic direction of "AI Mining Agents."

AI is transitioning from the digital domain into physical industries. As a highly complex physical production system, mines integrate multiple aspects including energy, equipment, scheduling, safety, and maintenance. Facing comprehensive demands for efficiency, safety, cost, and green development, upgrading a single piece of equipment alone cannot meet the future needs of mines. Breaton's proposed "Computing-Electricity Dual-Drive" strategy is based on its long-term practical experience in mining production methods. "Computing" represents intelligent decision-making capabilities centered on autonomous driving large models, intelligent scheduling, on-vehicle reasoning, cloud-based training, and operational data. "Electricity" encompasses the clean energy and electrified equipment system, including photovoltaics, energy storage, charging, pure electric mining trucks, and mine microgrids. In real mining scenarios, the energy system, equipment system, and intelligent system are closely interconnected: electricity powers the vehicles while simultaneously supporting computing operations; computing controls the vehicles and optimizes scheduling, charging, and energy distribution. This strategy aims to drive mines from fuel-driven and manual experience-based scheduling to a new stage jointly driven by clean energy and AI decision-making.

The autonomous driving large model released this time is the core capability for Breaton to advance its mining AI agent strategy. The value of autonomous mining driving lies not only in vehicle self-driving but also in addressing complex roads, loading/unloading rhythms, energy replenishment, and production planning. This model aims to support the evolution of autonomous mining driving from single-vehicle intelligence to system intelligence, from rule-driven to model-driven approaches, and from single-vehicle control to fleet coordination, thereby building an AI decision-making system that can understand mining scenarios, participate in operations, and continuously evolve. Breaton's proposed mining AI agent is composed of the autonomous driving large model, unmanned electric equipment, grid-forming microgrids, software systems, and real operational data.

In this system, the autonomous driving large model serves as the decision-making hub, unmanned electric mining trucks and mining robots act as action units, the photovoltaic-storage microgrid and charging system provide energy support, and real operational data feeds back into model training and system optimization. Through this system, mines will gradually transition from the traditional "human-managed equipment" model to a new paradigm where "the system understands tasks, AI organizes resources, equipment executes autonomously, and data continuously evolves." Breaton has long been deploying new energy mining equipment, autonomous driving systems, and photovoltaic-storage-charging microgrids. Through real mining operations, it has formed a complete data loop encompassing vehicle operation, energy usage, scheduling organization, and maintenance management, which is expected to enable mining AI capabilities to continuously evolve with operations through a data flywheel effect.

Centered on the "Computing-Electricity Dual-Drive" strategy, Breaton will continue to promote the deep integration of autonomous driving large models, unmanned electric equipment, grid-forming microgrids, and mining operational data, building an AI agent system tailored for real mining production scenarios. In the future, the company will leverage clean energy as its foundation, AI large models as its core, unmanned electric equipment as its carrier, and real operational data as its driver, to provide cleaner, smarter, and more efficient production methods for mines worldwide.