BRETON (01333) releases a smart driving large model: "Double-drive calculation" opens up new space for mining AI intelligent body.

date
16:59 29/06/2026
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GMT Eight
On June 29th, Bolleton (01333) held a smart driving large model launch event in Xinjiang, officially releasing the smart driving large model targeting mining scenarios, and proposing a systematic strategic framework of "computing-electric dual-drive".
On June 29th, BRETON (01333) held a large-scale smart driving model launch event in Xinjiang, officially releasing the smart driving model for mining scenes and proposing a systematic strategic framework of "Algorithm-Electric Dual Drive". This event marks BRETON's integration of years of accumulated unmanned electric mining trucks, light storage microgrids, unmanned driving, and mining operation data into AI system capabilities tailored for real mining production scenarios. The mining industry is a typical complex physical production system where vehicles, roads, loading and unloading, energy, safety, scheduling, and operations are interrelated. As energy costs, safety management, green transformation, and efficiency improvement requirements continue to rise, mining customers need a system solution that can coordinate vehicles, energy, algorithms, and data. The "Mining AI Intelligent Body" proposed by BRETON is the innovative answer to meet the needs of users. The Mining AI Intelligent Body: Empowering mines with autonomous operation capabilities In BRETON's system, the Mining AI Intelligent Body consists of intelligent driving models, unmanned electric equipment, light storage microgrids, and operational data. The intelligent driving model plays a central role in decision-making, responsible for understanding tasks, planning paths, optimizing scheduling, and supporting overall decision-making; unmanned electric mining trucks carry out tasks, complete transportation, collaborative operations, and data feedback; light storage microgrids provide stable and clean energy for vehicles and intelligent systems; real operational data continuously feedback, driving continuous optimization of models and systems. The significance of this system lies in driving mines towards system intelligence from partial automation. In the past, mining production relied more on manual scheduling and on-site experience. In the future, AI systems can coordinate vehicles, energy, and production tasks, making mining operations more stable, efficient, and safe. For customers, the value brought by the Mining AI Intelligent Body is more direct: improved transportation efficiency, reduced vehicle waiting and empty running time; decreased on-site labor pressures, enhanced safety management capabilities; energy, scheduling, and operation are unified and coordinated, with comprehensive operating costs expected to continuously optimize. "Algorithm-Electric Dual Drive": Integrating energy systems and AI systems "Algorithm-Electric Dual Drive" is the core methodology proposed by BRETON at this conference. "Algorithm" includes intelligent driving models, intelligent scheduling, on-board inference, cloud-side training, and data evolution; "Electric" includes photovoltaics, energy storage, charging, pure electric mining trucks, and mining microgrids. The key to mining intelligence lies in the joint operation of energy systems and intelligent systems. Pure electric mining trucks require stable, low-cost, sustainable power supply; unmanned driving and AI scheduling require computing power, data, and communication support. Light storage microgrids address local energy security, while the intelligent driving model optimizes vehicle operations, charging strategies, and transportation schedules. The combination of the two can support large-scale electric operation and unmanned operation in mines. "Algorithm-Electric Dual Drive" integrates energy flow, logistics, data flow, and decision flow in mines into one system. Electricity drives vehicles, also supporting on-board intelligence, edge computing, and cloud-based training; algorithms control vehicles, optimizing transportation routes, fleet scheduling, charging strategies, and energy usage efficiency. This will drive mines from fuel-driven, manual experience scheduling, and single-point equipment operation towards a joint drive driven by clean energy and AI decisions. The value for customers includes lower energy costs, improved transportation efficiency, reduced labor pressure, enhanced safety capability, and a clearer path towards green transformation. Intelligent Driving Model: Driving unmanned driving towards system collaboration The difficulty of unmanned mining vehicles lies in the complex collaboration in real operations. The ability of a vehicle to drive automatically is just the starting point for unmanned mining vehicles. Mining sites involve loading points, unloading points, slopes, curves, encounters, charging, queuing, safety evasion, and fleet scheduling. What truly affects customer profits is whether the entire transportation system can operate stably and efficiently in the long term. The launch of the intelligent driving model means that BRETON is driving unmanned mining towards model-driven coordination, from single-vehicle intelligence to fleet coordination, from manual experience to data-driven decision-making, and from local optimization to global optimization. For customers, this will bring three main values. First is efficiency value. AI systems can dynamically optimize scheduling based on roads, vehicles, battery levels, tasks, and loading and unloading rhythms, reducing waiting times, empty running, and inefficient operations. Second is safety value. The intelligent driving system can continuously perceive roads, vehicles, and operating environments, enhancing risk recognition and safety redundancy capabilities in complex conditions. The third is long-term evolution value. Real mining data continuously feeds back, models continuously optimize, and the system will increasingly understand the mining site, with operational efficiency and reliability expected to continuously improve. BRETON's value: Transitioning from vehicle delivery to mining AI system capability output The core focus of BRETON's launch of the intelligent driving model this time lies in the upgrade of the company's value logic. In the past, it was easier for the market to understand BRETON from the perspective of vehicles. With the proposals of "Mining AI Intelligent Body" and "Algorithm-Electric Dual Drive" frameworks, BRETON is integrating unmanned electric mining trucks, light storage microgrids, intelligent driving models, and operational data into a complete system. This also means that the boundaries of BRETON's customer service are expanding. The company provides vehicles but also offers energy security, unmanned driving, intelligent scheduling, data evolution, and system operational capabilities. For mining customers, this system corresponds to lower comprehensive operating costs, more stable energy supply, higher transportation efficiency, less human dependence, and stronger safety management capabilities. For BRETON, the company also has the opportunity to extend from one-time hardware delivery to energy services, unmanned driving services, software subscriptions, and long-term operational services. In the global trend of greening, intelligence, and unmanned mining, BRETON's "Algorithm-Electric Dual Drive" provides a new path: with clean energy as operational support, intelligent driving models as decision-making centers, unmanned electric equipment as execution carriers, real operational data as evolutionary power, constructing an AI intelligent body system tailored for mining production sites. Mining intelligentization is moving beyond single-point technological upgrades into a new stage of energy, equipment, algorithms, and data coordination. BRETON hopes to become a significant provider of global mining AI system capabilities in this stage.