Borayton Launches AI-Driven Large-Scale Mining Model, Entering the Era of Smart

June 30,2026

On June 29th, Bolotone held a Smart Driving Large Model launch event in Xinjiang, officially releasing the Smart Driving Large Model tailored for mining scenarios and systematically explaining the "Computing and Electrification Dual-Drive" strategic framework. This launch represents a concentrated display of Bolotone's capabilities in AI systems for mining after years of deep cultivation in new energy mining equipment, photovoltaic storage and charging microgrids, and autonomous operation technology. It also signifies a key step for the company in the strategic direction of becoming an "AI Mining Intelligence Enterprise."

In today's rapidly developing artificial intelligence era, AI is moving from the digital world to real industrial sites. Mines are highly complex physical production systems that integrate energy, equipment, roads, scheduling, safety, maintenance, and production goals. Faced with such scenarios, upgrading individual equipment alone cannot meet the future comprehensive demands of mines for efficiency, safety, cost, and green development. Intelligent mining requires a more complete system capability, necessitating the synergy of clean energy, intelligent equipment, AI algorithms, and operational data.

Bolotone's proposal of "Computing and Electrification Dual-Drive" is a systematic summary based on long-term practice in mining production methods. The core competitiveness of future mines will come from cleaner and more stable energy systems, more efficient and reliable unmanned equipment, and more powerful AI decision-making capabilities.

"Computing and Electrification Dual-Drive": Reconstructing the Path to Mining Intelligence

"Computing" refers to intelligent decision-making capabilities represented by the Smart Driving Large Model, intelligent scheduling, vehicle-side reasoning, cloud training, and operational data; "Electrification" refers to the clean energy and electrified equipment system represented by photovoltaics, energy storage, charging, pure electric mining trucks, and mining microgrids.

In real mining scenarios, energy systems, equipment systems, and intelligent systems are closely related. Electric power drives vehicles and also supports the operation of vehicle-side intelligence, edge computing, and cloud training; computing power controls vehicles and optimizes transportation scheduling, charging strategies, energy distribution, and fleet operations.

This is the strategic significance of "Computing and Electrification Dual-Drive." It propels mines from fuel-driven, manual experience-based scheduling, and single-point equipment operation to a new stage driven by clean energy and AI decision-making.

The launch of the Smart Driving Large Model is a crucial core capability for Bolotone to advance the mining AI intelligence strategy.

The value of unmanned mining goes far beyond the autonomous driving of vehicles. Real mining sites involve complex roads, loading and unloading rhythms, energy supply, safety boundaries, and production plans. The unmanned driving system needs to understand mining tasks, coordinate fleet operations, match energy supply, and continuously optimize over long-term operations.

The launch of the Smart Driving Large Model is aimed at supporting the transition of unmanned mining from individual vehicle intelligence to system intelligence. It will promote the shift from rule-driven to model-driven unmanned mining, from individual vehicle control to fleet coordination, from manual experience to data-driven decision-making, and from local optimization to global optimization.

For Bolotone, the launch of the Smart Driving Large Model represents a further expansion of the company's capabilities. Bolotone is building an AI decision-making system that can understand mining scenarios, participate in mining operations, and continuously evolve.

Building Mining AI Intelligence

The mining AI intelligence proposed by Bolotone is composed of the Smart Driving Large Model, unmanned electric equipment, grid-type microgrids, software systems, and real operational data.

In this system, the Smart Driving Large Model serves as the decision-making center, unmanned electric mining trucks and mining robots are the operational units, photovoltaic storage microgrids and charging systems provide energy security, and real operational data continuously feeds back into model training and system optimization.

Vehicles, energy, scheduling, and data in the mine will be reorganized into a unified system by AI. Mining trucks become intelligent nodes capable of perception, execution, and feedback; the energy system becomes an important component affecting the rhythm of mining production; data becomes the core resource driving the continuous evolution of the system.

Through this system, Bolotone will promote the transition of mines from the traditional model of "people managing equipment, equipment completing tasks" to a new model of "systems understanding tasks, AI organizing resources, equipment executing autonomously, and data continuously evolving." Data Flywheel, Forming Continuous Evolutionary Capability of Mining AI

Mining sites are characterized by high intensity, long cycles, and complex changes. Road conditions, loading and unloading rhythms, weather environments, vehicle status, energy loads, and safety boundaries are all continuously changing. AI systems need to continuously accumulate data in real operations,

Source : www.51cm.org

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