Standard for the Application of Wind Power Operation and Maintenance Drone Swarms Released, Inspection Efficiency Increased Tenfold
2025-12-04
In 2025, China’s wind power industry officially released the “Technical Standards for the Application of Drone Swarms in Wind Power Operation and Maintenance,” providing standardized guidance for the large-scale deployment of drones in wind power inspection.
In 2025, China’s wind power industry officially released the “Technical Standard for the Application of Drone Swarms in Wind Power Operation and Maintenance,” providing standardized guidance for the large-scale deployment of drones in wind power inspection. This standard focuses on the collaborative operational capabilities of drone swarms, leveraging multi-drone coordination, intelligent path planning, and autonomous obstacle-avoidance technologies to achieve efficient inspections covering all scenarios in wind farms. As an example, consider a million-kilowatt-class wind farm located in the Kubuqi Desert in Inner Mongolia: under traditional manual inspection methods, inspecting a single turbine would take one to two working days. However, after adopting a clustered drone system, a detailed inspection of a single turbine’s blades can be completed within just 15 minutes—representing an almost tenfold increase in inspection efficiency compared to the conventional approach.
This standard explicitly requires drone swarms to possess environmental adaptability, enabling them to operate stably under extreme weather conditions such as sandstorms and freezing rain. At the same time, by equipping drones with high-definition visible-light cameras and infrared thermal imagers, the swarm can accurately detect 14 types of defects—including blade cracks and loose bolts—with an accuracy rate exceeding 95%. In a certain offshore wind power project in Jiangsu Province, 11 drones working in coordinated fashion boosted overall inspection efficiency by 90% and significantly reduced the risks associated with personnel conducting operations at sea.
From a technical perspective, the standard emphasizes that drones must integrate AI visual algorithms and digital twin technology to enable real-time analysis of inspection data and prediction of defect trends. Currently, this standard has been widely adopted and applied in over a thousand new-energy power stations across China, covering various scenarios such as wind power and photovoltaic systems, thereby driving the operation and maintenance of new energy sources toward greater intelligence and standardization.
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