The paper describes the activities involved to measure the temperature distribution in the nEMoS device in order to minimize the thermal interference of the installed sensors. nEMoS, nano Environmental Monitoring System, is an "all-in-one" device aimed at assessing the Indoor Environmental Quality (IEQ) of buildings. The two features at the basis of nEMoS are the cost-effectiveness and the consistency of the detected data. For the former of these purposes only low cost sensors and microcontrollers have been chosen while, for the latter, the detected data have been compared with those of typical commercial sensors. Through an area contactless measurement of temperature, it was possible to identify the areas that are most affected by the heating of the sensors as well as the components that manage the power supply of the microcontroller. With the help of the thermographic technique it was possible to build a new optimized case and to delete instrumental systematic errors.

DESIGN AND OPTIMIZATION THROUGH THERMOGRAPHY: nEMoS ARCHITECTURE

F Salamone;L Danza;I Meroni;MC Pollastro
2015

Abstract

The paper describes the activities involved to measure the temperature distribution in the nEMoS device in order to minimize the thermal interference of the installed sensors. nEMoS, nano Environmental Monitoring System, is an "all-in-one" device aimed at assessing the Indoor Environmental Quality (IEQ) of buildings. The two features at the basis of nEMoS are the cost-effectiveness and the consistency of the detected data. For the former of these purposes only low cost sensors and microcontrollers have been chosen while, for the latter, the detected data have been compared with those of typical commercial sensors. Through an area contactless measurement of temperature, it was possible to identify the areas that are most affected by the heating of the sensors as well as the components that manage the power supply of the microcontroller. With the help of the thermographic technique it was possible to build a new optimized case and to delete instrumental systematic errors.
2015
IEQ
IoT
monitoring system
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/296112
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