PROMET&O: A Multidisciplinary Approach to Monitor Indoor Environmental Quality

Recent studies have explored the influence of Indoor Environmental Quality (IEQ) on the occupants’ perception, behavior and productivity at work [1]. Also, it has been proved that a poor IEQ may turn in negative further consequences on occupants also affecting mental comfort and health [2]. The assessment of IEQ is thus a complex task due to its nature that considers the thermal, air quality, lighting and acoustics domains at the same time. Alongside with these aspects, there is no evidence of the extent to which exposure to day-to-day low-frequency electromagnetic fields may arise long term health issues, although international guidelines specify exposure limits for work places. Recent works, such as [3], have also investigated the use of Wireless Sensor Networks (WNSs) for air pollution monitoring, however, they typically refer to urban environment. To sum up, multi-domain investigations are therefore needed, and the use of accurate devices for the acquisition of objective IEQ metrics is mandatory. This research aims at developing an innovative, accurate and low-cost system for the in-field monitoring of IEQ, i.e., the so called PROMET&O system. With respect to the current state of the art, PROMET&O will provide the integration of the measured IEQ metrics with feedback of the perceived Indoor Environmental Comfort (IEC) from occupants, encouraging best practices for energy saving. The proposed system architecture is shown in Fig. 1 and consists in several Multi-Sensors (MSs) collecting data related to the IEQ metrics to be monitored, which are sent to an open-access platform for further processing. Each MS is provided with a set of sensors, whose outputs are periodically sampled by a controller, shown in Fig. 2. Sensors have been selected being low-cost, low-power and small-sized. The respective measurement range and accuracy are reported in Tab. 1 and agree with the specific IEQ standards. To avoid self-heating or cross-sensitivity issues, a first placement of the MS layout is proposed as shown in Fig. 3. Based on the sampled data, statistics of the measured quantities are evaluated and transferred to the server to be stored in a database. Future work will focus on further development and experimental validation of such system in an open space offices to correlate IEQ measured metrics with occupants’ feedback.