Automated Metadata Construction to Support Portable Building Applications

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.

[1]  David E. Culler,et al.  Writing scalable building efficiency applications using normalized metadata: demo abstract , 2014, BuildSys@SenSys.

[2]  이상호,et al.  Industry Foundation Classes 기반 강교량의 데이터 모델링 방법 , 2012 .

[3]  David E. Culler,et al.  Towards Automatic Spatial Verification of Sensor Placement in Buildings , 2013, BuildSys@SenSys.

[4]  Sumit Gulwani,et al.  User Interaction Models for Disambiguation in Programming by Example , 2015, UIST.

[5]  Bernard Gorman,et al.  BEAD - building energy asset discovery tool for automating smart building analytics: demo abstract , 2014, BuildSys@SenSys.

[6]  Bernard Gorman,et al.  Towards automating the deployment of energy saving approaches in buildings , 2014, BuildSys@SenSys.

[7]  Stefan Saroiu,et al.  An Operating System for the Home , 2012, NSDI.

[8]  Jeffrey Heer,et al.  Wrangler: interactive visual specification of data transformation scripts , 2011, CHI.

[9]  Thomas Weng,et al.  BuildingDepot 2.0: An Integrated Management System for Building Analysis and Control , 2013, BuildSys@SenSys.

[10]  David E. Culler,et al.  sMAP: a simple measurement and actuation profile for physical information , 2010, SenSys '10.

[11]  D. Culler,et al.  Empirical Mode Decomposition for Intrinsic-Relationship Extraction in Large Sensor Deployments , 2012 .

[12]  Burcu Akinci,et al.  Comparison of linear correlation and a statistical dependency measure for inferring spatial relation of temperature sensors in buildings , 2014, BuildSys@SenSys.

[13]  Jorge Ortiz,et al.  A Platform Architecture for Sensor Data Processing and Verification in Buildings , 2013 .

[14]  Sumit Gulwani,et al.  Automating string processing in spreadsheets using input-output examples , 2011, POPL '11.

[15]  Kamin Whitehouse,et al.  Sensor-Type Classification in Buildings , 2015, ArXiv.