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    Structural health monitoring and ice detection for connected wind turbines with Wendelin

    A complete use case of Nexedi technologies (Wendelin, NEO) for the implementation of a Big Data infrastructure in the field of Wind Energy.
    • Last Update:2018-11-11
    • Version:003
    • Language:en

    Structural health monitoring and ice detection for connected wind turbines with Wendelin

    Wölfel Logo
    Nexedi Logo

    Dr.-Ing. Steffen Pankoke

    Pankoke (at) woelfel (dot) de

    Dr. Klaus Wölfel

    klaus (at) nexedi (dot) com
     

    IDD.Blade

     

    Structural health monitoring and ice detection for connected wind turbines with Wendelin

    Wölfel Logo
    Nexedi Logo

    Dr.-Ing. Steffen Pankoke

    Pankoke (at) woelfel (dot) de

    Dr. Klaus Wölfel

    klaus (at) nexedi (dot) com
     

    IT Problems

    • Reliable data collection
    • Scalable storage
    • Parallel processing
    • Out-of-core processing
    • Predictive algorithms
     

    Introducing Wendelin

    Wendelin Logo
     

    Reliable data collection: Fluentd

    Fluentd Illustration
     

    Scalable storage: NEO

    NEO Illustration
     

    Parallel Processing: ERP5

    # Initialize data
    data_size = 1e6
    server_count = 1000
    chunk_size = data_size / server_count
    data = zbigarray(data_size)
    
    # Process data in parallel on each server (Map Reduce, Batch, etc)
    for server in server_count:
      data.activate().process(server*chunk_size, chunk_size)
    
     

    Out-of-core processing: wendelin.core

    # Numpy
    np.ndarray(shape=(2,2), dtype="float")
    
    # Out-of-core data
    ZBigArray(shape=(1e18,2), dtype="float")
    
    # Full out-of-core
    ZBigArray(shape=(1e9,2e9), dtype="float")
    
     

    Predictive algorithms: scikit-learn

    scikit-learn Illustration
     

    User Interface

    Mic Wind Map Screenshot
     

    Data Visualisation

    Mic Wind Graph
     

    Thank You

    Image Nexedi Office
    • Nexedi GmbH
    • Agnes-Pockels-Bogen 1
    • 80992 München
    • Germany