As the commercial space industry accelerates and humanity sets its sights on deep-space destinations, the human capital required to support these bold endeavors grows dramatically. To alleviate the strain on the industry workforce, reduce cost, and optimize operations, Collins Aerospace (an RTX business) is developing a spaceflight intelligence system, Leto™, that integrates with existing and future systems. Leto™ is a full-stack system that uses physics-based models and AI-powered algorithms to continuously monitor and inform ground support personnel and onboard crew about the performance of their vehicle's Environmental Control and Life Support System (ECLSS). Leto™, trained and verified on decades of spaceflight telemetry, surveys a vehicle's ECLSS and provides performance metrics, prognostics, and anomaly detection functions that alert users to system degradation and advise when upcoming maintenance events should occur. Intelligent ECLSS monitoring with Leto™ allows greater insight into system performance while reducing the labor required to do so, letting critical engineering staff focus on value-added activities. This paper introduces Leto™, discusses its capabilities through actual use cases, and concludes with next steps.
Rohrig et al. (Sun,) studied this question.