Predictive Maintenance · Real-time Analytics
Longyuan Power needed a scalable way to monitor far-flung wind farms and turbines, identify safety and equipment risks faster, and turn production data into a more centralized, intelligent operating model for renewable-energy assets.
Reported impact
Longyuan achieved more centralized oversight of renewable assets, reduced inspection risk, improved response speed, and established an intelligent operating base for future digital-twin, predictive-maintenance, and dispatch-optimization scenarios.
Baidu AI Cloud helped Longyuan Power build a production-operations intelligent platform for renewable generation by layering AI video recognition on top of its national wind-power footprint. The system uses a three-level management architecture spanning headquarters, provincial monitoring centers, and individual new-energy sites, then adds two classes of intelligent algorithms: personnel-safety recognition and equipment-status recognition. Video feeds and operational data from more than twelve thousand turbines and over two hundred wind farms are centralized so remote staff can identify hazards, monitor field operations, and respond faster without constant on-site presence. The platform also serves as the base for more advanced applications such as AR-assisted remote maintenance, digital-twin plants, predictive turbine maintenance, generation forecasting, and coordinated dispatch across wind, solar, and storage. Instead of running isolated site-level tools, Longyuan now operates a cloud-intelligent foundation for inspection, control, and renewable-asset scaling.
Video streams and production data from wind farms and turbines are collected into Longyuan's centralized platform, where recognition algorithms analyze personnel safety conditions and equipment status. Alerts and inspection results are then surfaced to headquarters and provincial monitoring centers so staff can respond quickly and coordinate field action across sites.
Inspection-model accuracy exceeds 95%, response speed moved from hours to minutes, and overall inspection efficiency improved 6-10x (original: 智能巡检分析模型准确率达95%以上，系统响应效率从小时级提升到分钟级，巡检整体效率提升6—10倍).
Longyuan built a production-operations intelligent platform and upgraded the group's cameras with new wind-power algorithms (original: 通过生产运营智能化平台，龙源电力实现集中式管理。凭借多个全新的风电智能化算法，对全集团摄像头进行智能化升级).
The platform helps staff manage more than 12,000 turbines across more than 200 wind farms from Beijing (original: 轻松管理分布在全国的12000多台风机和200多个风电场).
The platform uses a three-level management architecture covering headquarters, provincial monitoring centers, and new-energy sites (original: 建设"龙源电力本部—省级监控中心—新能源场站"三级管理架构的视频智能识别系统).
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