| Title |
Ubiquitous Environmental Monitoring as Decision Tool MONITAR SENSE: An Environmental Tool |
| ID_Doc |
79115 |
| Authors |
Pinho, P; Lopes, S; Rodrigues, G; Colaço, P |
| Title |
Ubiquitous Environmental Monitoring as Decision Tool MONITAR SENSE: An Environmental Tool |
| Year |
2017 |
| Published |
|
| DOI |
10.5220/0006344002740280 |
| Abstract |
Ambient (outdoor) Environmental Quality (AEQ) of urban areas and Indoor Environmental Quality (IEQ) of buildings are recognized as key factors that contribute to improve the position on ranking of smart cities. The challenge is being able to evaluate AEQ and IEQ in large scale, and making the results available, in real-time, so that decision makers can react according to the received information. Monitar started the implementation of an AEQ and IEQ monitoring network based on new environmental sensors and information and communication technologies (ICT), such as a web-based platform, in order to monitor environmental parameters in a large area at a lower cost than conventional environmental monitoring networks and to disseminate information to become available for decision. The data collected are the base for decision support tool to be used by building and district managers and also individual people. In terms of Smart City, in its component Smart Environment, the monitoring network uses different equipment that due to their dimension and price can be placed in several locations. ICT supports Smart Governance and Smart Living, also addressed by accessing information helping changing people's behaviour. This paper describes the Environmental Monitoring Network applied by Monitar (designated MONITAR SENSE) in Central Portugal namely the mainframe and some results. |
| Author Keywords |
Environmental Monitoring; Web-based Platform; Ubiquitous Monitoring; Decision Tool |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000570511400030 |
| WoS Category |
Computer Science, Artificial Intelligence; Green & Sustainable Science & Technology; Engineering, Electrical & Electronic |
| Research Area |
Computer Science; Science & Technology - Other Topics; Engineering |
| PDF |
https://doi.org/10.5220/0006344002740280
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