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Demo Abstract: Human-in-the-loop BMS Point Matching and Metadata Labeling with Babel

  • Jonathan Fürst
    ,
  • Kaifei Chen
    ,
  • Randy H. Katz
    ,
  • Philippe Bonnet
Research Output:
Conference Article in Proceeding or Book/Report chapter
Book chapter
Peer-review

Open access

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Book chapter
Peer-review

Host publication Subtitle

BuildSys '15

Original language

English

Pages from-to (Number of pages)

Pages 101-102 (2 pages)

Publication milestones

  • Published - 2015

Publication status

Published - 2015

Publisher

Association for Computing Machinery, United States
978-1-4503-3981-0

Publication IDs

  • Scopus: 84959046504

Host publication title

Proceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments, BuildSys 2015, Seoul, South Korea, November 4-5, 2015

Abstract

The inconsistent metadata in Building Management Systems (BMS) hinders the deployment of cyber-physical applications in non-residential buildings. In this demonstration we present Babel, a continuous, human-in-the-loop and crowdsourced approach to the creation and maintenance of BMS metadata. Occupants provide physical and digital input in form of actuations (e.g., the switching of a light) and readings (e.g., the reading of the room temperature of a thermostat) to Babel. Babel then matches this input to digital points in the BMS based on value equality. We have implemented a prototype of our system in a non-residential building over the BACnet protocol. While our approach can not solve all metadata problems, this demonstration illustrates that it is able to match many relevant points in a fast and precise manner.

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