InInspekt

Contact Person (Coordinator)

Markus Fenn

EduArt Robotik GmbH

markus.fenn@eduart-robotik.com

What the Project Is About

The InInspekt project takes an innovative, multi-stage approach to the automated inspection of wind turbine rotor blades. The first step involves developing an autonomous robot capable of moving independently within the rotor blade. This robot is equipped with state-of-the-art sensor technology, including RGB cameras, passive and active thermography, and a high-resolution 3D close-range scanner. By combining these technologies, not only can surface damage such as cracks and delaminations be detected, but deeper material defects can also be visualized.

A central element of the project is the AI-supported analysis of the collected multimodal data. To this end, a novel calibration and fusion method is being developed that enables the precise spatial mapping and overlay of color, thermal, and 3D data. The resulting datasets serve as the basis for precise damage detection, classification, and condition assessment.

At the same time, a standardized work instruction for the internal inspection of rotor blades is being developed, which is intended to serve as the basis for a future standard. This standard aims to achieve greater objectivity, reproducibility, and efficiency in inspection processes. To support research and promote technology transfer, a benchmark dataset of approximately 50 rotor blades is being compiled and made publicly available. This is intended to enable the comparability of methods and promote open exchange within the industry.

Visit the Projectwebsite