Predictive repair and support of engineering systems based on distributed data processing model within an IoT concept

被引:1
|
作者
Kireev, Vasiliy S. [1 ]
Filippov, Stanislav A. [1 ]
Guseva, Anna I. [1 ,2 ]
Bochkaryov, Pyotr V. [1 ,2 ]
Kuznetsov, Igor A. [1 ,2 ]
Migalin, Vladimir [2 ]
Filin, Sergey S. [2 ]
机构
[1] Natl Res Nucl Univ, MEPhI Moscow Engn Phys Ins, Moscow, Russia
[2] Konnekt Ltd, Dept Sci Res, Moscow, Russia
关键词
Big data; IoT; cloud computing; fog computing; dew computing; sensors; information systems for monitoring;
D O I
10.1109/W-FiCloud.2018.00019
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The development of cloud technologies, miniaturization of computing and sensor devices has led to an explosive growth in the field of the Internet of Things. One of the promising research areas within the framework of this concept is smart homes, and, more broadly, smart cities, associated with increasing the values of such parameters of housing and utility services as energy efficiency, resistance to failures, failing and efficiency in general. This article is devoted to the development of an information system for monitoring, remote management and maintenance of engineering systems at the housing infrastructure facilities. The functions of information system include the operational status control of engineering systems on housing infrastructure objects, support, maintenance, repair, prediction and alerts on routine, unplanned and critical situations. This system is based on the concept of " Dew computing - Fog computing - Cloud computing" and is designed to collect and process Big Data, collected via the Internet of Things.
引用
收藏
页码:84 / 89
页数:6
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