Against the backdrop of accelerated intelligent and green transformation in manufacturing, developing new-quality productive forces and promoting the integrated development of the Industrial Internet + AI have become national strategic priorities. Enhancing equipment intelligent operation and maintenance (O&M) capabilities is a critical link in strengthening industrial competitiveness and ensuring the security and stability of industrial chains.
As the “heart” of factories, equipment operating status directly affects production safety, operational efficiency, and sustainable development.
Traditional O&M mostly relies on reactive repairs and empirical judgment, leaving industrial enterprises trapped in dilemmas: equipment running with defects, sudden production halts due to failures, high O&M costs, and dangerous, labor-intensive on-site inspections. What equipment truly needs is not just “repair,” but a complete set of full-lifecycle health management.
With over 20 years of deep cultivation in the industrial sector, Luculent has conducted on-site research and practice across multiple industries including electric power, coal, chemical, metallurgy, and equipment manufacturing. It has developed an intelligent O&M system for key industrial production equipment based on the Industrial Internet platform, undertaken a Ministry of Industry and Information Technology (MIIT) digital innovation project, and become a benchmark practice for AI-enabled equipment intelligent O&M that drives quality improvement and efficiency enhancement in key industries.
We define this platform as an exclusive AI Remote Care Platform for Equipment:It goes beyond mere repair, integrating intelligent prediction, intelligent diagnosis, intelligent assessment, and intelligent maintenance into a full closed-loop process, shifting equipment O&M from “reactive emergency repair” to “proactive health management.”
Different industries and equipment are like patients with varied physical conditions. Luculent rejects a “one-size-fits-all” approach and builds a 1:1 high-fidelity digital twin for each piece of equipment, equivalent to creating a complete electronic health record.
Real-time monitoring of multi-dimensional “health indicators” including vibration, temperature, current, and oil condition;
Coverage of all types of critical equipment such as steam turbines, shearers, reaction kettles, and rolling mills;
Remote “physical examinations” without risky manual on-site inspections;
Early detection of minor hidden dangers, with a fault prediction accuracy rate exceeding 90%.
This truly achieves prevention before illness, quick treatment for minor ailments, and precise treatment for serious conditions.
The platform constructs a full-lifecycle equipment health data center, transforming scattered data into equipment health big data.
Full traceability from manufacturing, installation, operation, maintenance to decommissioning;
Establishment of four major “health knowledge bases”: risk database, maintenance database, upkeep database, and operation database;
Automatic anomaly alarms and automatic degradation trend analysis;
Fault detection shortened from hours to minutes, with troubleshooting efficiency improved by 70%.
This makes equipment health status visible, manageable, and predictable.
Centered on the Sushine Yaoguang Industrial Large Model, the platform equips enterprises with 24/7 online general and specialist equipment doctors.
Over 5,000 fault cases and 2,800+ professional mechanism models;
Large models master general knowledge, while small models specialize in specific fields, enabling remote expert consultations;
Automatic root cause localization, automatic diagnosis report generation, and automatic maintenance plan recommendation;
Continuous model learning and iteration, becoming increasingly “professional” with use.
Equipment knowledge utilization efficiency is increased by 30%, and maintenance plan formulation time is reduced by 50%.
Luculent acts not only as an “equipment doctor” but also provides full-lifecycle health management services.
Dynamic assessment of equipment health levels, providing recommendations for technical transformation, optimization, and renewal;
Objective evaluation of equipment reliability, offering scientific basis for enterprise equipment selection;
Connecting equipment manufacturers, O&M teams, and industry experts to form a collaborative health ecosystem;
Breaking geographical barriers to realize remote care, cross-domain consultations, and resource sharing.
From treating existing illnesses to preventing potential ones, and from equipment maintenance to full-lifecycle health management, Luculent’s AI Remote Care Platform for Industrial Equipment truly makes equipment healthier, enterprises more worry-free, and O&M more efficient.