<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

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

Modelling in Civil Environmental Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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,...

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

Published Online: Feb 06, 2018

Page range: 39 - 49

DOI: https://doi.org/10.1515/mmce-2017-0013

Keywords
cloud computing, data analyses, bms, building automation, internet of things

© by Florin-Adrian Hebean

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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

Published Online: Feb 06, 2018

Page range: 39 - 49

DOI: https://doi.org/10.1515/mmce-2017-0013

Keywordscloud computing, data analyses, bms, building automation, internet of things

© by Florin-Adrian Hebean

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Keywords
cloud computing, data analyses, bms, building automation, internet of things