Predictive Repair and Support of Engineering Systems Based on Distributed Data Processing Model within an IoT Concept

V. Kireev, S. A. Filippov, A. Guseva, Pyotr V. Bochkaryov, I. A. Kuznetsov, V. Migalin, S. S. Filin
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引用次数: 5

Abstract

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.
基于物联网概念下分布式数据处理模型的工程系统预测修复与支持
云技术的发展、计算和传感器设备的小型化导致了物联网领域的爆炸式增长。在这一概念的框架内,一个有前途的研究领域是智能家居,更广泛地说,是智能城市,它与增加住房和公用事业服务参数的价值有关,如能源效率、抗故障能力、失败和效率。本文致力于开发一个用于监测、远程管理和维护住房基础设施工程系统的信息系统。信息系统的功能包括对住房基础设施对象的工程系统的运行状态控制,支持,维护,修理,对日常,计划外和紧急情况的预测和警报。该系统基于“露水计算-雾计算-云计算”的概念,旨在收集和处理通过物联网收集的大数据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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