A practical approach to validation of buildings' sensor data: A commissioning experience report

Claudio Giovanni Mattera, Sanja Lazarova-Molnar, Hamid Reza Shaker, Bo Norregaard Jorgensen

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

6 Citations (Scopus)

Abstract

Often manually performed commissioning processes on building's sensors fail to systematically validate that all building's sensors operate correctly. This is so because manual processes are tedious and only inspect a limited number of sensors. As a result, sensors are often uncalibrated, biased or somehow faulty, impacting building's behaviour, comfort level and energy usage. We present a practical approach to automatically validate data from all building's sensors. We designed and implemented four different tests to detect out-of-range values, spikes, latency issues and non-monotonous values. Our tests are based on expert knowledge and do not need historical data. We ran the validation tests on a newly constructed building at the campus of the University of Southern Denmark. As a result we identified two types of faulty behaviours in the building's sensors: CO2 sensors reporting biased values and temperature sensors' readings exhibiting high latency. We show how automatic data validation for building sensors enhances the processes of detecting issues which could severely impact building's operations, and were otherwise going unnoticed. Thus, we emphasize the importance of performing data validation as a necessity for a correct building operation.

Original languageEnglish
Title of host publicationProceedings - 3rd IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages287-292
Number of pages6
ISBN (Electronic)9781509063185
DOIs
Publication statusPublished - Jun 8 2017
Externally publishedYes
Event3rd IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2017 - San Francisco, United States
Duration: Apr 6 2017Apr 10 2017

Publication series

NameProceedings - 3rd IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2017

Other

Other3rd IEEE International Conference on Big Data Computing Service and Applications, BigDataService 2017
Country/TerritoryUnited States
CitySan Francisco
Period4/6/174/10/17

Keywords

  • Fault detection and diagnosis
  • Sensor data validation
  • Smart buildings

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

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