Towards automatic spatial verification of sensor placement in buildings

Dezhi Hong, Jorge Ortiz, Kamin Whitehouse, David Culler

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 Scopus citations

Abstract

Most large, commercial buildings contain thousands of sensors that are manually deployed and managed. These sensors are used by software and firmware processes to analyze and control building operations. Many such processes rely on sensor placement information in order to perform correctly. However, as buildings evolve and building subsystems grow and change, managing placement information becomes burdensome and error-prone. An automatic verification process is needed. We investigate empirical methods to automate spatial verification. We find that a spatial clustering algorithm is able to classify relative sensor locations - for 15 sensors, spread across five rooms in a building - with 93.3% accuracy, 13% better than a k-means clustering-based baseline method. Analysis on the raw time series data has a classification accuracy of only 53%. By decomposing the signal into intrinsic modes and performing correlation analysis, an observable, statistical boundary emerges that corresponds to a physical one. These results may suggest that automatic verification of placement information is possible.

Original languageEnglish (US)
Title of host publicationBuildSys 2013 - Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings
PublisherAssociation for Computing Machinery, Inc
ISBN (Electronic)9781450324311
DOIs
StatePublished - Nov 11 2013
Event5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings, BuildSys 2013 - Rome, Italy
Duration: Nov 11 2013Nov 15 2013

Publication series

NameBuildSys 2013 - Proceedings of the 5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings

Conference

Conference5th ACM Workshop on Embedded Systems For Energy-Efficient Buildings, BuildSys 2013
Country/TerritoryItaly
CityRome
Period11/11/1311/15/13

All Science Journal Classification (ASJC) codes

  • Building and Construction
  • Renewable Energy, Sustainability and the Environment
  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Architecture

Keywords

  • Clustering
  • Correlation Coefficient
  • Empirical Mode Decomposition
  • Sensor Placement

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