From April 16 to 18, the 2026 5th Industrial Equipment Intelligent Operation and Maintenance Conference & 6th Smart Lubrication Conference, co-hosted by the China Machinery Industry Federation, the Chinese Mechanical Engineering Society, and the China Association for Mechatronic Equipment Maintenance and Renovation, grandly kicked off in Zhengzhou.
Luculent showcased its full-scenario solutions for AI-powered intelligent equipment operation and maintenance at the exhibition. At the sub-forum of the Special Forum on Intelligent Operation and Maintenance for Coal Mines, the company delivered a keynote speech titled AI Empowers Smart Coal Mine Construction: Yaoguang Industrial Large Model Reshapes the Full Life Cycle Management of Coal Mine Equipment.
In the speech, the company’s experts took the "digital lifecycle" of a coal mining machine from production to decommissioning as an example, vividly illustrating how industrial AI large models deeply empower the full life cycle management of industrial equipment.
AI & Full Life Cycle Management of Equipment
Starting from the planning and procurement phase, large coal mining equipment is endowed with digital attributes. Instead of relying merely on parameter comparison for model selection, AI models assist in optimal decision-making based on massive operational and maintenance data of similar equipment. Upon deployment in coal mines, each piece of equipment is assigned a unique identification code. Technical documents such as operation manuals and engineering drawings are automatically identified and analyzed to form a dynamically updated digital profile.
During long-term operation, smart sensors installed on the equipment act as neural terminals, continuously collecting multi-dimensional data including vibration, temperature and acoustic features. In the cloud, a "virtual team of equipment experts" built on the Yaoguang Industrial Large Model continuously analyzes real-time data, dynamically assesses equipment health conditions, and formulates customized preventive maintenance plans. When potential equipment defects emerge, the large model delivers early warning, accurately locates fault points, and automatically retrieves knowledge base resources to generate targeted maintenance solutions covering operational procedures, technical specifications and spare parts lists. Post-maintenance equipment performance is recorded and evaluated by the system to drive continuous model iteration and optimize subsequent maintenance strategies. When equipment is ultimately decommissioned, all accumulated operational data and empirical knowledge are retained as valuable assets for the R&D and management optimization of next-generation equipment, realizing cyclic value inheritance.
Every stage of the coal mining equipment’s digital operation is empowered with the capabilities of self-perception, self-decision and self-optimization by industrial AI large models.
As introduced by the experts, the implementation of this intelligent operation and maintenance scenario is underpinned by Luculent Intelligence’s profound industry expertise and comprehensive technical system. Covering underlying technical platforms and intelligent sensing hardware, equipment asset management and asset performance management, as well as innovative services including remote monitoring, technical renovation and spare parts support, the company has established a full-stack industrial AI product and capability system. Centered on the Yaoguang Large Model, Luculent builds an integrated hardware and software, edge-cloud collaborative intelligent operation and maintenance solution, helping enterprises improve quality and efficiency, reduce costs and energy consumption, and drive cross-industry collaborative innovation.
Core Advantages of the Solution
Multi-source Knowledge IntegrationRooted in the interconnection of equipment technical standards, historical operational data, real-time monitoring signals and business management information, the Yaoguang Industrial Large Model supports the development of a continuously updated industry knowledge base, enabling the automatic generation and dynamic update of intelligent equipment account ledgers. It infuses profound industrial expertise into AI systems, enabling in-depth understanding of equipment performance, technological processes and business scenarios.
Multi-modal Integrated DiagnosisCombining multi-dimensional monitoring technologies for vibration, acoustic fingerprints and current signals with the in-depth collaboration of large and small models, the solution realizes component-level health monitoring. Similar to combined CT and ultrasonic scanning for industrial equipment, it achieves a fault prediction accuracy rate of over 90%. This shifts equipment management from run-to-failure with latent defects to predictive maintenance, eliminating potential faults at an early stage.
Multi-agent Collaborative Operation and MaintenanceUnder the unified scheduling of the Yaoguang Industrial Large Model, dedicated intelligent agents for equipment status inquiry, early warning analysis and intelligent defect elimination perform their respective duties and collaborate efficiently. They independently execute tasks including status monitoring, root cause analysis and maintenance plan recommendation. Combined with intelligent maintenance decision-making, a closed-loop whole-process management system covering monitoring, early warning, diagnosis and maintenance is established, making equipment operation and maintenance more intelligent, efficient and streamlined.
Cross-industry EmpowermentTailored for core industrial sectors including coal mining, power generation, metallurgy, petrochemicals and equipment manufacturing, the solution connects upstream and downstream industrial chains via a remote operation and maintenance platform. It facilitates the sharing of maintenance experience and spare parts resources, accelerating enterprises’ transformation from equipment sales to service-oriented operation, and fostering a new ecosystem for the intelligent operation and maintenance industry.
With the continuous advancement of industrial large model technologies, equipment operation and maintenance is evolving from manpower-led mode to a new paradigm dominated by intelligent agents with human supervision. Moving forward, Luculent Intelligence will continue to leverage cutting-edge technologies and an open ecological layout to ensure the safe, efficient and full-lifecycle operation of all industrial equipment empowered by AI.
