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Activity Number: 188 - Contributed Poster Presentations: Section on Physical and Engineering Sciences
Type: Contributed
Date/Time: Monday, July 29, 2019 : 10:30 AM to 12:20 PM
Sponsor: Section on Physical and Engineering Sciences
Abstract #307118
Title: Vetting the Energy and Security of Smart Buildings with Data Science
Author(s): Dinuka Gallaba* and Zhen Li and MyVan Vo
Companies: Southern Illinois University and Purdue University and Purdue University
Keywords: Cyber Physical System; Data Mining ; smart building
Abstract:

Cyber Physical system has various applications in civil, transportation and energy infrastructure. With the development of sensor technology and communication, all of the above infrastructures become more intelligent and self-sustained. Mean while those facilities have also become vulnerable to cyber attacks due to the gaps in the cyber security and physical protection. Our goal is to use a smart building as a platform to develop data mining technologies in intelligent buildings and to apply the technologies to common Cyber Physical Infrastructures (CPIs), which will have significant influence on the system security. The chosen residence for the case study is a research level residence at Purdue University. The installed sensor network provides continuous data regarding the utility consumption like water and energy in real or near-real time. With the accumulated data over a period of two years, the researchers used time dependent data mining techniques to figure the relationships between and within different aspects of building performances.


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