@inproceedings{2a073e34f3f44c23b00aa8e2bf1729ea,
title = "A case study in data visualization for linked building information model and building management system data",
abstract = "This paper presents the development of a framework for leveraging the 3D nature of spaces, their attributes, and sensor location data in conjunction with building management system (BMS) sensor data to allow both users and operators to more easily access building data in the operations and maintenance of facilities. A case study, using data from various sensors of an operational facility and data from the building information model (BIM) used in the construction of the facility, is presented in a spatial data visualization framework. The initial prototype focuses on 3D data visualization by building occupants to enable exposure and access to facility data. The framework offers an initial system to integrate two typically disparate data streams to aid in building life-cycle data integration as well as increase transparency and awareness of operations for building occupants.",
author = "Lather, {Jennifer I.} and Robert Amor and Messner, {John I.}",
note = "Publisher Copyright: {\textcopyright} 2017 American Society of Civil Engineers.; 2017 ASCE International Workshop on Computing in Civil Engineering, IWCCE 2017 ; Conference date: 25-06-2017 Through 27-06-2017",
year = "2017",
doi = "10.1061/9780784480823.028",
language = "English (US)",
isbn = "9780784480823",
series = "Congress on Computing in Civil Engineering, Proceedings",
publisher = "American Society of Civil Engineers (ASCE)",
pages = "228--235",
editor = "Ken-Yu Lin and Ken-Yu Lin and Nora El-Gohary and Nora El-Gohary and Pingbo Tang and Pingbo Tang",
booktitle = "Computing in Civil Engineering 2017",
address = "United States",
}