Sensors (Dec 2022)

An Open-Source Platform for Indoor Environment Monitoring with Participatory Comfort Sensing

  • Joseph Rosenberger,
  • Zhong Guo,
  • Austin Coffman,
  • Duzgun Agdas,
  • Prabir Barooah

DOI
https://doi.org/10.3390/s23010364
Journal volume & issue
Vol. 23, no. 1
p. 364

Abstract

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We present an open-source wireless network and data management system for collecting and storing indoor environmental measurements and perceived comfort via participatory sensing in commercial buildings. The system, called a personal comfort and indoor environment measurement (PCIEM) platform, consists of several devices placed in office occupants’ work areas, a wireless network, and a remote database to store the data. Each device, called a PCFN (personal comfort feedback node), contains a touchscreen through which the occupant can provide feedback on their perceived comfort on-demand, and several sensors to collect environmental data. The platform is designed to be part of an indoor climate control system that can enable personalized comfort control in real-time. We describe the design, prototyping, and initial deployment of a small number of PCFNs in a commercial building. We also provide lessons learned from these steps. Application of the data collected from the PCFNs for modeling and real-time control will be reported in future work. We use hardware components that are commercial and off-the-shelf, and our software design is based on open-source tools that are freely and publicly available to enable repeatability.

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