META-aiviCase Study
Wind Turbine Inspection Using Drones + AI
Customer
The customer is a green energy engineering firm specializing in renewable and clean energy solutions, with 20 years of expertise in all aspects of wind power plant projects, including integration and maintenance of renewable energy systems.
Case
Enhancing Wind Turbine Inspection
In the renewable energy sector, offshore and onshore wind farms are vital for sustainable power generation. Turbines rely on complex mechanisms where each component is crucial for performance. The gasket sealing between the turbine motor and blade is particularly important, requiring regular maintenance and inspection. In this case, the customer was looking for an intelligent solution to optimize the wind turbine inspection process at a large onshore site in Taiwan.
Challenge
Wind Turbine Inspection Efficiency
Inspecting turbines manually through visual inspection poses several challenges. The process involves a field operator using a drone to capture footage, which is later reviewed by another worker to conduct the inspection. However, this method is time-consuming and inefficient, particularly as each turbine has three blades to check and all the turbines across the entire wind farm need to be inspected. This process is prone to inaccuracies, as workers may miss details or make mistakes due to fatigue and human error.
Solution
Optimizing Inspection with AI-Powered Drones
Drones are equipped with AI vision capabilities using META-aivi, enabling them to swiftly detect the presence or absence of the gasket between the blade and motor with precision. This enhancement streamlines the inspection process and ensures greater accuracy. Additionally, integrating GPS tracking data ensures improved inspection accountability, facilitating documentation of digital inspection records.
