Real-Time Data Quality Control and Anomaly Detection

The contract requires the development and implementation of automated systems capable of detecting and filtering compromised or grounded buoy data within a 24-hour window to maintain the integrity of Navy forecasting models. This effort focuses on real-time anomaly detection to ensure that inaccurate or unreliable oceanic data does not degrade the performance of critical maritime prediction systems. The solution must operate continuously and autonomously, identifying irregular patterns indicative of sensor failure, physical damage, or environmental interference without manual intervention. This is a Small Business Set Aside subcontract under NAICS code 541715, awarded by the Naval Supply Systems Command Fleet Logistics Center Norfolk under the Department of Defense. The work is performance-based with strict timing requirements to support operational readiness, and all deliverables must align with Navy data standards for environmental monitoring. While specific geographic performance locations are not detailed, the system must be scalable to handle data streams from deployed buoy networks across relevant operational theaters. The solicitation emphasizes technical innovation in automated data validation, with an expectation that the contractor will leverage machine learning, sensor fusion, or similar advanced analytics to achieve reliable, near real-time filtering capabilities.