Big data from the built environment

Azam Khan, Kasper Hornbæk

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

36 Citations (Scopus)

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.
Translated title of the contributionBig data from the built environment
Original languageEnglish
Title of host publicationProceedings of the 2nd international workshop on Research in the large
Number of pages4
PublisherAssociation for Computing Machinery
Publication date2011
Pages29-32
ISBN (Electronic)978-1-4503-0924-0
DOIs
Publication statusPublished - 2011
Event2nd International Workshop on Research in the Large - Beijing, China
Duration: 18 Sep 201118 Sep 2011
Conference number: 2

Workshop

Workshop2nd International Workshop on Research in the Large
Number2
Country/TerritoryChina
CityBeijing
Period18/09/201118/09/2011

Keywords

  • app, augmented reality, building information model, data aggregation, massive data sets, sustainability

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