Abstract
As sensor networks in buildings continue to grow in number
and heterogeneity, occupants can become empowered to
better control their environment for comfort maximization
and energy minimization. Since buildings are the primary
consumers of energy and are the dominant cause of
greenhouse gases, apps that help occupants to understand and
control their interactions with a building could be extremely
beneficial to society. However, the massive raw data sets that
could be collected must be aggregated and visualized to be
usable which presents significant data handling, information
visualization, and interaction challenges. In the context of
Project Dasher, a prototype building site for exploring these
issues, we discuss lessons learned and challenges ahead to
develop ubiquitous computing support for sustainability.
and heterogeneity, occupants can become empowered to
better control their environment for comfort maximization
and energy minimization. Since buildings are the primary
consumers of energy and are the dominant cause of
greenhouse gases, apps that help occupants to understand and
control their interactions with a building could be extremely
beneficial to society. However, the massive raw data sets that
could be collected must be aggregated and visualized to be
usable which presents significant data handling, information
visualization, and interaction challenges. In the context of
Project Dasher, a prototype building site for exploring these
issues, we discuss lessons learned and challenges ahead to
develop ubiquitous computing support for sustainability.
Translated title of the contribution | Big data from the built environment |
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Original language | English |
Title of host publication | Proceedings of the 2nd international workshop on Research in the large |
Number of pages | 4 |
Publisher | Association for Computing Machinery |
Publication date | 2011 |
Pages | 29-32 |
ISBN (Electronic) | 978-1-4503-0924-0 |
DOIs | |
Publication status | Published - 2011 |
Event | 2nd International Workshop on Research in the Large - Beijing, China Duration: 18 Sep 2011 → 18 Sep 2011 Conference number: 2 |
Workshop
Workshop | 2nd International Workshop on Research in the Large |
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Number | 2 |
Country/Territory | China |
City | Beijing |
Period | 18/09/2011 → 18/09/2011 |
Keywords
- app, augmented reality, building information model, data aggregation, massive data sets, sustainability