An Information Visualization Approach to Intelligent Building Assessment

Ju Hong, Zhen Chen, Heng Li, Qian Xu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

This paper presents a Knowledge-oriented Information Visualization (KIV) approach to facilitating the implementation of building rating systems such as the Asian Intelligent Building Index (AIIB) for the post-assessment of Intelligent Buildings (IBs). The KIV approach is introduced by using a prototype of KIV for IB assessment. The KIV model consists of several toolkits, including an IB Casebase for the Applications of Sustainable Technology (called IB-CAST), a web-oriented information visualization toolkit for IB assessment using Microsoft Office (called IB-Radar and IB-Compass), and a Geographical Information System (GIS) toolkit for bridging knowledge (called IB-GIS) in IB assessment, etc. A case study is used to demonstrate how the KIV approach can be applied to support IB assessment.
Original languageEnglish
Title of host publicationProceedings of the Sixth International Conference for Enhanced Building Operations, Shenzhen, China, November 6 - 9, 2006
Place of PublicationTexas, USA
PublisherEnergy Systems Laboratory (http://esl.tamu.edu)
Number of pages8
VolumeVIII-6-4
Publication statusPublished - 6 Nov 2006
EventSixth International Conference for Enhanced Building Operations, Shenzhen, China, November 6 - 9, 2006 - Shenzhen, China, Shenzhen, China
Duration: 6 Nov 20069 Nov 2006
https://icebo.tamu.edu/history/

Conference

ConferenceSixth International Conference for Enhanced Building Operations, Shenzhen, China, November 6 - 9, 2006
Abbreviated titleICEBO2006
Country/TerritoryChina
CityShenzhen
Period6/11/069/11/06
Internet address

Keywords

  • Intelligent building
  • assessment
  • methodology
  • Model
  • information visualization

ASJC Scopus subject areas

  • Building and Construction
  • Information Systems

Cite this