Sensor data management, validation, correction, and provenance for building technologies

Charles C. Castello, Jibonananda Sanyal, Jeffrey Rossiter, Zachary Hensley, Joshua R. New

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

Oak Ridge National Laboratory (ORNL) conducts research on technologies that use a wide range of sensors to develop and characterize building energy performance. The management of high-resolution sensor data, analysis, and tracing lineage of such activities is challenging. Missing or corrupt data due to sensor failure, fouling, drifting, calibration error, or data logger failure are other issues. This paper focuses on sensor data management, validation, correction, and provenance to combat these issues, ensuring complete and accurate sensor data sets for building technologies applications and research. The design and development of two integrated software products are discussed: Sensor Data Validation and Correction (SensorDVC) and the Provenance Data Management System (ProvDMS) platform. Both software products are designed to be general purpose with applications for a wide range of building performance management scenarios.

Original languageEnglish
Title of host publicationASHRAE Transactions
PublisherAmerican Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE)
Pages370-382
Number of pages13
ISBN (Electronic)9781936504824
StatePublished - 2014
Event2014 ASHRAE Annual Conference - Seattle, United States
Duration: Jun 28 2014Jul 2 2014

Publication series

NameASHRAE Transactions
Volume120
ISSN (Print)0001-2505

Conference

Conference2014 ASHRAE Annual Conference
Country/TerritoryUnited States
CitySeattle
Period06/28/1407/2/14

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