期刊名称：International Journal of Artificial Intelligence & Applications (IJAIA)
印刷版ISSN：0976-2191
电子版ISSN：0975-900X
出版年度：2018
卷号：9
期号：2
页码：2-20
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Energy routers are recent topics of interest for scientific community working on alternative energy.Enabling technologies supporting installation and monitoring energy efficiency in building are discussed inthis paper, by focusing the attention on innovative aspects and on approaches to predict risks and failuresconditions of energy router devices. Infrared (IR) Thermography and Augmented Reality (AR) areindicated in this work as potential technologies for the installation testing and tools for predictivemaintenance of energy networks, while thermal simulation, image post-processing and data miningimprove the analysis of the prediction process. Image post- processing has been applied on thermal imagesand for WiFi AR. Concerning data mining we applied k-Means and Artificial Neural Network –ANNobtainingoutputs based on measured data. The paper proposes some tools procedure and methodssupporting the Building Information Modeling- BIM- in smart grid applications. Finally we provide someISO standards matching with the enabling technologies by completing the overview of scenario.
关键词：Energy Router; IR Thermography; Augmented Reality; Predictive Maintenance; Design Simulation; Data;Mining; Neural Network;Building Information Modeling; Failure Conditions.
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