Recently, the underground engineering equipment knowledge large model independently developed by CRCHI has been fully deployed and officially opened for application to business personnel in all aspects of operation, commissioning, and service, achieving digital and intelligent empowerment across the entire lifecycle of underground engineering equipment.
The successful implementation of this model is another major scientific research achievement of CRCHI in deepening its "AI+" strategy and building new quality productive forces, marking a major technological breakthrough by CRCHI in the field of "AI + equipment."
The CRCHI underground engineering equipment knowledge large model relies on a high-performance GPU computing cluster for distributed training and deployment, adopts an advanced deep learning architecture, comprehensively applies technologies such as model fine-tuning, semantic analysis, and data retrieval and augmentation, and integrates full-scenario business data from pre-sales, manufacturing, commissioning, acceptance, and operation and maintenance services, forming the industry's first question-and-answer system for underground engineering equipment and driving a leapfrog upgrade of the decision-making model from "manual experience-based decision-making" to "AI intelligent driving." Underground Engineering Equipment Knowledge Large Model To better meet customer needs and provide instant service, the underground engineering equipment knowledge large model can open standardizedAPI interfacesexternally, seamlessly integrating into various types of underground engineering construction equipment. AI +Q&A for Rock Drilling Jumbos Customers or business personnel: By entering keywords such as construction environment and geological conditions, they can quickly obtain typical construction cases, detailed introductions to equipment functions and performance, and customized construction support solutions. AI + Operations Production and commissioning personnel: By entering keywords such as commissioning components or technical problems encountered, they can obtain precise operational guidance, including detailed electromechanical-hydraulic commissioning steps for equipment, technical documentation for components, and the latest acceptance standards and rules. AI + Commissioning Customers or service personnel: By entering keywords such as fault types and component names, they can obtain detailed equipment operation guidelines, safety protection precautions, and fault repair and handling methods. AI + Service In addition, users can also access the model anytime and anywhere via the Web or mobile APP to obtain services, achieving efficient integration of technology and business scenarios and providing users with a more convenient and precise intelligent service experience. AI + APP
In the future, CRCHI will continue to advance the deep integration of artificial intelligence and engineering equipment, continuously expand "AI+" application scenarios such as R&D and design, construction planning, and risk warning, and promote the transformation of the underground engineering industry toward "unmanned" and "intelligent" operations.
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