Fragmented inspection data costs wind operators the comparison layer: when every vendor delivers findings in its own format, no one can rank defects across a fleet, track one defect over time, or hand an insurer a single verifiable record. The data exists. The ledger does not.
What a typical fleet actually receives
A utility-scale wind operator commonly juggles drone RGB and thermal imagery from an aerial inspection platform, LiDAR scans from a blade robotics vendor, SCADA historian exports as CSV, gearbox vibration streams from a condition monitoring system, and a PDF summary report per campaign. Each arrives with its own coordinate system, defect taxonomy and severity scale. None of them reference the same blade, bolt or bearing in the same way.
Why vendor portals do not solve it
Every inspection vendor ships its own dashboard, and each dashboard only sees its own data. The portal that flew your blades cannot see the vibration trend that preceded the finding, and the SCADA export cannot see the thermal image. Operators end up paying engineers to copy findings between systems, which is slow, error-prone and impossible to audit.
How an open asset model fixes it
Gridledger proposes an open data platform that normalizes inspection and monitoring data from any vendor into one documented asset model. Adapters parse each source format, map every finding to a physical component in the asset tree, and align severity scales. Because the model and the adapters would be open, no vendor could lock you out of your own history, and any stakeholder, from O&M planner to insurer, reads the same record.