Contribution to the Design and Implementation of a Reflexive Cyber-Physical System: Application to Air Quality Prediction in the Vallees des Gaves

##plugins.themes.bootstrap3.article.main##

##plugins.themes.bootstrap3.article.sidebar##

Published Jun 29, 2022
Sylvain Poupry Cedrick Beler Kamal Medjaher

Abstract

This thesis aims to set up a scientific approach to monitor and take preventive actions on the air quality for the actors of a territory not covered by conventional measuring stations. Thus, a Cyber-Physical System (CPS) approach combined with Prognostics Health Management (PHM) methodologies is chosen to move toward a self-monitoring and self-reconfiguration system. To collect data in an inexpensive manner, measurement stations with low-cost sensors (LCS) are developed. LCS have drawbacks and the first part of this thesis is the use of redundancy and a proposed algorithm to increase their hardware and data reliability. A first station is deployed as proof of concept and the region is already receiving real-time data. The next phase is to build forecasting models to help authorities make decisions.

How to Cite

Poupry, S., Beler, C., & Medjaher, K. (2022). Contribution to the Design and Implementation of a Reflexive Cyber-Physical System: Application to Air Quality Prediction in the Vallees des Gaves. PHM Society European Conference, 7(1), 590–593. https://doi.org/10.36001/phme.2022.v7i1.3300
Abstract 78 | PDF Downloads 47

##plugins.themes.bootstrap3.article.details##

Keywords

Cyber-Physical System, Internet of Things, Prognostics Health Management, air quality, citizen engagement, natural system

Section
Doctoral Symposium