دانلود مقاله انگلیسی رایگان:افزایش مدل های سیستم آب با ادغام داده های بزرگ - 2018
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دانلود مقاله انگلیسی داده های بزرگ رایگان
  • Enhancing water system models by integrating big data Enhancing water system models by integrating big data
    Enhancing water system models by integrating big data

    سال انتشار:

    2018


    عنوان انگلیسی مقاله:

    Enhancing water system models by integrating big data


    ترجمه فارسی عنوان مقاله:

    افزایش مدل های سیستم آب با ادغام داده های بزرگ


    منبع:

    Sciencedirect - Elsevier - Sustainable Cities and Society, 37 (2018) 485-491: doi:10:1016/j:scs:2017:11:042


    نویسنده:

    M. Ehsan Shafiee⁎, Zachary Barker, Amin Rasekh


    چکیده انگلیسی:

    The past quarter century has witnessed development of advanced modeling approaches, such as stochastic and agent-based modeling, to sustainably manage water systems in the presence of deep uncertainty and complexity. However, all too often data inputs for these powerful models are sparse and outdated, yielding unreliable results. Advancements in sensor and communication technologies have allowed for the ubiquitous deployment of sen sors in water resources systems and beyond, providing high-frequency data. Processing the large amount of heterogeneous data collected is non-trivial and exceeds the capacity of traditional data warehousing and pro cessing approaches. In the past decade, significant advances have been made in the storage, distribution, querying, and analysis of big data. Many tools have been developed by computer and data scientists to facilitate the manipulation of large datasets and create pipelines to transmit the data from data warehouses to compu tational analytic tools. A generic framework is presented to complete the data cycle for a water system. The data cycle presents an approach for integrating high-frequency data into existing water-related models and analyses, while highlighting some of the more helpful data management tools. The data tools are helpful to make sus tainable decisions, which satisfy the objectives of a society. Data analytics distribution tool Spark is introduced through the illustrative application of coupling high-frequency demand metering data with a water distribution model. By updating the model in near real-time, the analysis is more accurate and can expose serious mis interpretations.
    Keywords: Water systems , Modeling , Big data , Automation , Hadoop , Apache Spark , Cloud computing


    سطح: متوسط
    تعداد صفحات فایل pdf انگلیسی: 7
    حجم فایل: 236 کیلوبایت

    قیمت: رایگان


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