Intelligent Big Data Processing for Wind Farm Monitoring and Analysis Based on Cloud-Technologies and Digital Twins A quantitative approach

被引：0
|
作者：
Pargmann, Hergen [1 ,2 ]
Euhausen, Doerthe [3 ]
Faber, Robin [3 ]
机构：
[1] Jade Univ Appl Sci Wilhelmshaven, Friedrich Paffrath Str 101, D-26389 Wilhelmshaven, Germany
[2] ZEIT GmbH & Co KG, D-26127 Oldenburg, Germany
[3] Carl von Ossietzky Univ Oldenburg, Ammerlander Heerstr 114-118, D-26129 Oldenburg, Germany
来源：
2018 IEEE 3RD INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND BIG DATA ANALYSIS (ICCCBDA) | 2018年
关键词：
big data processing; augmented reality; digital twin; cloud computing; internet of things; real-time processing; micro services; wind farms; smart control station;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Monitoring and analysis processes of big data are normally bound either to a technical or business context and even further separated into continuous or discrete resolution. In our approach a sound semantical integration of these different information types is presented and applied to a concrete use-case, the global monitoring and analysis of wind farms. Furthermore, a new user-interface style based on augmented reality is presented allowing - even to a novice - an intuitive and quick understanding of complex analysis results.
引用
收藏
页码：233 / 237
页数：5
相关论文
共 47 条
  • [41] Digital image-based technique for monitoring surface velocity: Sensitivity analysis with processing parameters using data of a study case
    Termini, D.
    Di Leonardo, A.
    [J]. RIVER FLOW 2016, 2016, : 379 - 386
  • [42] A computationally intelligent neural network-based nonlinear autoregressive exogenous balancing approach for real-time processing in industrial applications using big data
    Shafi, Imran
    Malik, Zeeshan
    Din, Sadia
    Jeon, Gwanggil
    Ahmad, Jamil
    [J]. CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2021, 33 (22):
  • [43] Digital signal processing for self-vibration monitoring in grinding: A new approach based on the time-frequency analysis of vibration signals
    Thomazella, Rogerio
    Lopes, Wenderson Nascimento
    Aguiar, Paulo Roberto
    Alexandre, Felipe Aparecido
    Fiocchi, Arthur Alves
    Bianchi, Eduardo Carlos
    [J]. MEASUREMENT, 2019, 145 : 71 - 83
  • [44] OPTIMIZATION APPROACH FOR WIND FARM CABLE LAYOUT BASED ON ITERATIVE SELF-ORGANIZING DATA ANALYSIS TECHNIQUE ALGORITHM AND SWAP SEQUENCE BASED PARTICLE SWARM ALGORITHMS
    Yu Deqi
    Li Ming
    [J]. PROCEEDINGS OF ASME TURBO EXPO 2022: TURBOMACHINERY TECHNICAL CONFERENCE AND EXPOSITION, GT2022, VOL 11, 2022,
  • [45] Performance Analysis of IoT-Based Sensor, Big Data Processing, and Machine Learning Model for Real-Time Monitoring System in Automotive Manufacturing
    Syafrudin, Muhammad
    Alfian, Ganjar
    Fitriyani, Norma Latif
    Rhee, Jongtae
    [J]. SENSORS, 2018, 18 (09)
  • [46] An Intelligent Cloud-Based IoT-Enabled Multimodal Edge Sensing Device for Automated, Real-Time, Comprehensive, and Standardized Water Quality Monitoring and Assessment Process Using Multisensor Data Fusion Technologies
    Mohammadi, Mohsen
    Assaf, Ghiwa
    Assaad, Rayan H.
    Chang, Aichih ''Jasmine''
    [J]. JOURNAL OF COMPUTING IN CIVIL ENGINEERING, 2024, 38 (06)
  • [47] Novel approach to HER2 quantification: Digital pathology coupled with AI-based image and data analysis delivers objective and quantitative HER2 expression analysis for enrichment of responders to trastuzumab deruxtecan (T-DXd; DS-8201), specifically in HER2-low patients
    Gustavson, Mark
    Haneder, Susanne
    Spitzmueller, Andreas
    Kapil, Ansh
    Schneider, Katrin
    Cecchi, Fabiola
    Sridhar, Sriram
    Schmidt, Guenter
    Lakis, Sotirios
    Teichert, Regina
    Shumilov, Anatoliy
    Hidalgo-Sastre, Ana
    Wienken, Magdalena
    Sade, Hadassah
    Barrett, J. Carl
    Carroll, Danielle
    [J]. CANCER RESEARCH, 2021, 81 (04)
12345