Verfahren zur Computerimplementierten Identifizierung eines Unbefugten Zugangs zu einem Windpark
Anmelder: Siemens Gamesa Renewable Energy A/S 🇩🇰
Details
- Veröffentlichungs-Nr.
- EP3879359
- Aktenzeichen
- EP20162381
- Anmeldetag
- 11. März 2020
- Veröffentlichung
- 15. September 2021
- Rechtsraum
- EP
- IPC
- G05B13/04G05B23/02
Abstract
The invention refers to a method for computer-implemented identifying an unauthorized access to a wind farm (100) by obtaining environmental and operational data (ED, OD) of the wind farm (100) from a repository (REP), which comprise technical data (SSI) and organizational data (MTL, UI) of the wind farm indicating tasks to be dealt with in the wind farm (100) in the future. Based on the environmental and operational data (ED, OD), for a predetermined time interval, a prediction of the operation and/or states of the wind farm (100) is determined by a trained data driven model (MO). The trained data driven model (MO) provides a prediction of the operation and/or states of the wind farm (100) as a digital output. The prediction is compared to operational conditions (OC) of the wind farm (100) resulting from current or past user machine interactions of a user. An unauthorized access is identified in case of a predetermined deviation of the obtained operational conditions (OC) from the prediction of the operation and/or states of the wind farm (100).
Anmelder
- Firma
- Siemens Gamesa Renewable Energy A/S
- Land
- 🇩🇰 Dänemark
Spanisches Unternehmen im Bereich erneuerbare Energien, entwickelt und fertigt Windkraftanlagen sowie zugehörige Technologien für Onshore- und Offshore-Windparks.
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