Systems, methods and computer program products for self-tuning sensor data processing
| DWPI Title: Detection system for automated sensor parameter tuning, comprises multiple sensors that each generate sensor data, and a processing unit receives the sensor data, and a processor is used to test the sensor data against all event-settings |
| Abstract: Systems and methods are disclosed that include tools that utilize Dynamic Detector Tuning (DDT) software that identifies near-optimal parameter settings for each sensor using a neuro-dynamic programming (reinforcement learning) paradigm. DDT adapts parameter values to the current state of the environment by leveraging cooperation within a neighborhood of sensors. The key metric that guides the dynamic tuning is consistency of each sensor with its nearest neighbors: parameters are automatically adjusted on a per station basis to be more or less sensitive to produce consistent agreement of detections in its neighborhood. The DDT algorithm adapts in near real-time to changing conditions in an attempt to automatically self-tune a signal detector to identify (detect) only signals from events of interest. The disclosed systems and methods reduce the number of missed legitimate detections and the number of false detections, resulting in improved event detection. |
| Use: Detection system for automated sensor parameter tuning. |
| Advantage: The detection systems lowers the mobilization cost and improves detection capabilities of sensor system, and reduces both the number of missed legitimate signal detections indicating an event and the number of false signal detections indicating an event, and thus leads to improved event detection. |
| Novelty: The detection system (100) comprises multiple sensors (102) that each generate sensor data, and a processing unit receives the sensor data. A processor is used to test the sensor data against all event-settings and automatically self-tune a signal detector for each sensor. The processor executes a majority rules algorithm to determine the threshold level of detection for each sensor. A decay rate algorithm is executed to continuously lower the detector trigger level of each sensor unless the majority rules algorithm adjusts it differently. The majority rules algorithm compares a sensor signal initiating a detection within a specified time window to signal detections of neighboring sensors within a same time window. |
| Filed: 11/30/2017 |
| Application Number: US15828188A |
| Tech ID: SD 13631.1 |
| This invention was made with Government support under Contract No. DE-NA0003525 awarded by the United States Department of Energy/National Nuclear Security Administration. The Government has certain rights in the invention. |
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