Year
2019
Abstract
Correlating radiation and visual camera data provides a path for collecting long term radiation data sets with the associated knowledge of the dynamic surroundings, which will aid analysts with determining the genesis of anomalies that are present in the radiation data. This simple form of “human-enabled” data fusion is a first step in moving closer toward more complete anomaly information and ultimately to absolute ground truth for the anomalies. In the Multi-Informatics for Nuclear Operations Scenarios (MINOS) program, a stand-alone radiation detection system was developed and deployed that has several associated detectors, including a neutron detector, two visual cameras, local weather sensors, environmental sensors relative to the radiation detector, and LiDAR. In fact, six of these systems have been deployed within the High Flux Isotope Reactor and neighboring Radiochemical Engineering Development Center facilities on the Oak Ridge National Laboratory reservation. These systems are networked through a wireless connection to a remote server for real-time aggregation of the data and overall system monitoring. A discussion of the systems as both stand-alone and networked sensors, the network architecture, and exemplar anomaly events will be included.