Pilot Physiology Based Autonomous Life Support System (Air Force)
Abstract
This project will integrate and test a Pilot Physiological Monitoring and Warning System (PPMAWS) with a new digital breathing regulator that incorporates machine learning to autonomously control the flow of oxygen to military aircraft. This project will also evaluate an off-the-shelf Pilot Breath Monitoring System (PBAM) currently in use with the Finnish Air Force, which requires no aircraft modification. These technologies could assist in preventing in-flight hypoxia, hypocapnia, and hyperoxia events currently experienced by pilots, improving flight safety, and aircraft availability. This project supports DoD's Artificial Intelligence/Machine Learning (AI/ML) focus area. If successful, the PBAM will be available for immediate fielding and the PPMAWS will transition to follow-on flight testing which is beyond the scope of this project. Test articles received, integrated into a flight helmet, and bench testing completed in FY 2019. Performance testing occurred in 2Q FY 2020. Integration into pilot breathing system was completed in 3Q FY 2020. Safe-to-fly determination for stand-alone helmet will occur in 1Q FY 2021. A transition decision will occur and a close out report will be completed in 2Q FY 2021 with FY 2020 funds.
Document Details
- Document Type
- Accomplishment
- Publication Date
- Oct 01, 2022
- Source ID
- 6852073540fb9d1f04409ed8a014aa67