1. bookVolume 13 (2017): Issue 4 (December 2017)
Journal Details
License
Format
Journal
eISSN
2784-1391
First Published
12 Apr 2013
Publication timeframe
4 times per year
Languages
English
access type Open Access

Cloud Computing and Internet of Things Concepts Applied on Buildings Data Analysis

Published Online: 06 Feb 2018
Volume & Issue: Volume 13 (2017) - Issue 4 (December 2017)
Page range: 39 - 49
Journal Details
License
Format
Journal
eISSN
2784-1391
First Published
12 Apr 2013
Publication timeframe
4 times per year
Languages
English
Abstract

Used and developed initially for the IT industry, the Cloud computing and Internet of Things concepts are found at this moment in a lot of sectors of activity, building industry being one of them. These are defined like a global computing, monitoring and analyze network, which is composed of hardware and software resources, with the feature of allocating and dynamically relocating the shared resources, in accordance with user requirements. Data analysis and process optimization techniques based on these new concepts are used increasingly more in the buildings industry area, especially for an optimal operations of the buildings installations and also for increasing occupants comfort. The multitude of building data taken from HVAC sensor, from automation and control systems and from the other systems connected to the network are optimally managed by these new analysis techniques. Through analysis techniques can be identified and manage the issues the arise in operation of building installations like critical alarms, nonfunctional equipment, issues regarding the occupants comfort, for example the upper and lower temperature deviation to the set point and other issues related to equipment maintenance. In this study, a new approach regarding building control is presented and also a generalized methodology for applying data analysis to building services data is described. This methodology is then demonstrated using two case studies.

Keywords

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