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Automated Metadata Construction to Support Portable Building Applications

Published: 04 November 2015 Publication History

Abstract

Commercial buildings consume nearly 19\% of delivered energy in the U.S, nearly half (42%) of which is consumed in buildings with digital control systems comprised of wired sensor networks. These sensors have scant metadata, and are represented by ``tags'' which are obscure, building-specific and not machine parseable. We develop a human-in-the-loop synthesis technique which uses syntactic and data-driven steps to parse these sensor tags into a common namespace, which can enable portable building applications. We show that our technique allows an expert to fully parse a large fraction (~70%) of the tags with 24, 15 and 43 examples for three large commercial buildings comprising 1586, 2522 and 1865 sensors respectively, and deploy three portable applications on two buildings with less than 30 examples.

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  • (2024)Developing an automatic integration approach to generate Brick model from imperfect Building Information ModellingJournal of Building Engineering10.1016/j.jobe.2024.110697(110697)Online publication date: Sep-2024
  • (2024)Semantic digital twin creation of building systems through time series based metadata inference – A reviewEnergy and Buildings10.1016/j.enbuild.2024.114637321(114637)Online publication date: Oct-2024
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  1. Automated Metadata Construction to Support Portable Building Applications

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    Published In

    cover image ACM Conferences
    BuildSys '15: Proceedings of the 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments
    November 2015
    264 pages
    ISBN:9781450339810
    DOI:10.1145/2821650
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 04 November 2015

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    Author Tags

    1. building management systems
    2. metadata normalization
    3. portable building applications
    4. sensor metadata

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    • NSF

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    Acceptance Rates

    BuildSys '15 Paper Acceptance Rate 20 of 66 submissions, 30%;
    Overall Acceptance Rate 148 of 500 submissions, 30%

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    SenSys '24

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    Cited By

    View all
    • (2024)Playground: A Safe Building Operating System2024 ACM/IEEE 15th International Conference on Cyber-Physical Systems (ICCPS)10.1109/ICCPS61052.2024.00017(111-122)Online publication date: 13-May-2024
    • (2024)Developing an automatic integration approach to generate Brick model from imperfect Building Information ModellingJournal of Building Engineering10.1016/j.jobe.2024.110697(110697)Online publication date: Sep-2024
    • (2024)Semantic digital twin creation of building systems through time series based metadata inference – A reviewEnergy and Buildings10.1016/j.enbuild.2024.114637321(114637)Online publication date: Oct-2024
    • (2023)SeReIn: Smart Home Sensor Relationship Inference2023 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)10.23919/SoftCOM58365.2023.10271580(1-6)Online publication date: 21-Sep-2023
    • (2023)An End-to-End Solution for Spatial Inference in Smart BuildingsProceedings of the 10th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation10.1145/3600100.3623736(110-119)Online publication date: 15-Nov-2023
    • (2023)An End-to-End Implementation of a Service-Oriented Architecture for Data-Driven Smart BuildingsIEEE Access10.1109/ACCESS.2023.332576711(117261-117281)Online publication date: 2023
    • (2023)Deployment of real-time building automation system-integrated inverse-model-based fault detection and diagnostics algorithmsScience and Technology for the Built Environment10.1080/23744731.2023.229097630:2(134-152)Online publication date: 20-Dec-2023
    • (2023)Automated monitoring applications for existing buildings through natural language processing based semantic mapping of operational data and creation of digital twinsEnergy and Buildings10.1016/j.enbuild.2023.113635300(113635)Online publication date: Dec-2023
    • (2023)Deploying data driven applications in smart buildings: Overcoming the initial onboarding barrier using machine learningEnergy and Buildings10.1016/j.enbuild.2022.112699279(112699)Online publication date: Jan-2023
    • (2023)A Scientometric Review of Present and Future Trends of Embedded Systems in the Built EnvironmentProceedings of the Future Technologies Conference (FTC) 2023, Volume 410.1007/978-3-031-47448-4_36(489-499)Online publication date: 8-Nov-2023
    • Show More Cited By

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