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A platform for research: civil engineering, architecture and urbanism
Multisensor IoT platform for optimising IAQ levels in buildings through a smart ventilation system
Indoor Air Quality (IAQ) issues have a direct impact on the health and comfort of building occupants. In this paper, an experimental low-cost system has been developed to address IAQ issues by using a distributed internet of things platform to control and monitor the indoor environment in building spaces while adopting a data-driven approach. The system is based on several real-time sensor data to model the indoor air quality and accurately control the ventilation system through algorithms to maintain a comfortable level of IAQ by balancing indoor and outdoor pollutant concentrations using the Indoor Air Quality Index approach. This paper describes hardware and softwaredetailsofthesystemaswellasthealgorithms,models,andcontrolstrategiesoftheproposed solutionwhichcanbeintegratedindetachedventilationsystems. Furthermore,amobileapphasbeen developed to inform, in real time, different-expertise-user profiles showing indoor and outdoor IAQ conditions. The system is implemented in a small prototype box and early-validated with different test cases considering various pollutant concentrations, reaching a Technology Readiness Level (TRL) of 3–4.
Multisensor IoT platform for optimising IAQ levels in buildings through a smart ventilation system
Indoor Air Quality (IAQ) issues have a direct impact on the health and comfort of building occupants. In this paper, an experimental low-cost system has been developed to address IAQ issues by using a distributed internet of things platform to control and monitor the indoor environment in building spaces while adopting a data-driven approach. The system is based on several real-time sensor data to model the indoor air quality and accurately control the ventilation system through algorithms to maintain a comfortable level of IAQ by balancing indoor and outdoor pollutant concentrations using the Indoor Air Quality Index approach. This paper describes hardware and softwaredetailsofthesystemaswellasthealgorithms,models,andcontrolstrategiesoftheproposed solutionwhichcanbeintegratedindetachedventilationsystems. Furthermore,amobileapphasbeen developed to inform, in real time, different-expertise-user profiles showing indoor and outdoor IAQ conditions. The system is implemented in a small prototype box and early-validated with different test cases considering various pollutant concentrations, reaching a Technology Readiness Level (TRL) of 3–4.
Multisensor IoT platform for optimising IAQ levels in buildings through a smart ventilation system
Chiesa G. (author) / CESARI, SILVIA (author) / Garcia M. (author) / Issa M. (author) / LI, SHUYANG (author) / Chiesa, G. / Cesari, Silvia / Garcia, M. / Issa, M. / Li, Shuyang
2019-01-01
Article (Journal)
Electronic Resource
English
DDC:
690
Multisensor IoT Platform for Optimising IAQ Levels in Buildings through a Smart Ventilation System
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