SE-14-034 -- Sensor Data Management, Validation, Correction, and Provenance for Building Technologies PDF

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.