Personal Comfort Node (PCN): An Open Platform to Enable Participatory Sensing for Intelligent Building Control
Authors: Joseph Rosenberger, Prabir Barooah, Austin Coffman, Ninad Gaikwad, Lucas Murphy
Faculty Mentor: Prabir Barooah
College: Herbert Wertheim College of Engineering
We present the design of a Personal Comfort Node (PCN), a platform for sensing and user interaction, meant to be part of an indoor climate control system that can provide personalized occupant comfort in commercial buildings. We describe the lessons learned during the design and prototyping of individual nodes as well a network of such nodes. We also report on an initial deployment of a small number of PCNs in a building and some of the performance metrics of the small-scale network. The hardware components are of commercial-off-the-shelf variety and the software design is based on open source tools that are freely available, so that it is possible to replicate the system at low cost. The goal of this article is to aid such replication. The application of the data collected from the PCNs for modeling and real-time control will be reported in future work.
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