Industry trends
2026.05.28
In the past, managing clustered power stations posed tremendous challenges.
The group operated hundreds of thermal power plants, hydropower stations and new energy facilities across the country. Isolated data and duplicated construction complicated overall management. Successful practices at individual stations could not be shared across the network. Manual inspection and fault diagnosis required massive manpower every day with extremely low efficiency.
Since the deployment of the cloud-edge-end collaborative intelligent cluster management platform powered by industrial AI, a virtuous closed loop has taken shape: unified empowerment at group level, on-site implementation at plant stations, and full-scale replication of proven expertise. The platform cuts costs and boosts benefits by tens of millions of yuan annually, while reducing safety incidents by over 60%.
It essentially refers to the group’s three-tier management and control system.
Cloud: The group’s central brain. It aggregates group-wide data, knowledge bases and typical cases, and develops unified algorithms and model resources. It supports global intelligent decision-making and AI model training, and rapidly replicates mature practices and high-performance models from benchmark power plants to all facilities to spread advanced capabilities across the board.
Edge: The on-site command post of each station. It conducts field testing, dynamic optimization and local control of models, featuring rapid response and flexible scheduling.
End: The neural terminals on the production frontline. Covering turbines, water pumps and other equipment, it collects and transmits real-time data, executes instructions precisely and feeds back on-site operating conditions, forming a complete, highly collaborative closed loop.
It enables intensive management for the group, realizing pre-event early warning, in-process supervision and post-operation optimization. The accuracy rate of equipment fault early warning exceeds 98%, allowing proactive risk prevention instead of emergency troubleshooting.
Data silos are eliminated with full connectivity across group, regional and station tiers, forming unified group-wide data assets. Cross-station data inquiries, which once took days, can now be completed with just a few clicks.
Duplicated construction is minimized. AI models are reusable across plants and undergo continuous iteration for better performance over time.
Dedicated models tailored for diverse business scenarios are trained via data and algorithm factories on the group cloud. These models are deployed to individual stations for field verification and ongoing optimization, greatly improving operational accuracy. For complex issues, on-site teams can apply for remote diagnosis from the group. Experts analyze data and deliver reports remotely without on-site visits.
Regular modeling contests are also held on the platform to encourage frontline staff to refine models and co-create achievements. This enhances the digital and intelligent capabilities of core personnel, and fuels the long-term iteration and upgrading of the group’s AI models.
Luculent’s cloud-edge-end collaborative intelligent cluster management platform builds an efficient management system featured by data-driven operation, cloud-edge collaboration, autonomous intelligence, safety and low carbon. It is widely applicable to process industries including power, coal, chemical engineering, metallurgy and transportation. Supporting unified deployment, full-domain management and flexible scheduling for conglomerates, it facilitates knowledge accumulation and reuse, and delivers all-round quality improvement and efficiency gains.
