NASA SBIR 2016 Solicitation


PROPOSAL NUMBER: 16-2 A3.03-7397
SUBTOPIC TITLE: Future Aviation Systems Safety
PROPOSAL TITLE: Intelligent Information Processing for Enhanced Safety in the NAS

SMALL BUSINESS CONCERN (Firm Name, Mail Address, City/State/Zip, Phone)
Metis Technology Solutions, Inc.
2309 Renard Place, Southeast
Albuquerque, NM 87106 - 4259
(505) 299-1509

PRINCIPAL INVESTIGATOR/PROJECT MANAGER (Name, E-mail, Mail Address, City/State/Zip, Phone)
Richard K Jessop
2101 Executive Drive, Ste 850
Hampton, VA 23666 - 2404
(719) 337-0185

CORPORATE/BUSINESS OFFICIAL (Name, E-mail, Mail Address, City/State/Zip, Phone)
Joy Colucci
2309 Renard Place, SE, Ste 200
Albuquerque, NM 87106 - 4259
(650) 207-9378

Estimated Technology Readiness Level (TRL) at beginning and end of contract:
Begin: 3
End: 5

Technology Available (TAV) Subtopics
Future Aviation Systems Safety is a Technology Available (TAV) subtopic that includes NASA Intellectual Property (IP). Do you plan to use the NASA IP under the award?

TECHNICAL ABSTRACT (Limit 2000 characters, approximately 200 words)
Our Phase I work focused on how improved information flow between actors in a flight deck environment can improve safety performance. An operational prototype was developed demonstrating how the Intelligent Information Processing System (IIPS) will operate in actual accidents/incidents.

For Phase II, we propose the following operating environment extensions from the flight deck environment: NextGen scenarios emphasizing interactions with air traffic controllers operating in fast paced, increased volume of manned and autonomous traffic; UAV operations emphasizing introduction of UAVs into the NAS, transition to autonomy and fully autonomous operations; and IIPS in flight training environments both simulated and airborne.

We also propose an extension to the manner in which conditions were developed in Phase I. Conditions were developed using post analysis of accidents and incidents. The error chain of events was identified, information necessary to prevent the event was identified, and finally, a condition developed that detected the circumstances for a possible safety failure so that a notification could be transmitted to the actor who would then take the appropriate action to break the error chain. This paradigm of condition development can be characterized as reactive. With the NAS moving into a state of flux with the integration of UAVs and general increased traffic volume, reactive safety may not be acceptable. In order to continue the steadily improving safety record of aviation, a more proactive approach must be considered. We propose the use of a classical rule-based expert system and other artificial intelligence approaches that can make inferences of possible unsafe conditions using a temporal knowledge base populated by propositional statements generated by IIPS information sources.

POTENTIAL NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
Integrating the proposed system with the ATOS/SMART-NAS development effort:It is possible to integrate the IIPS with NASA's Airspace and Traffic Operations Simulation (ATOS) that is currently being integrated into the Shadow Mode Assessment Using Realistic Technologies for the National Airspace System (SMART-NAS) test bed. In this integration effort, large number of ASTORs being run on the Amazon cloud cannot be monitored for correct behavior during runs and can only be verified by post processing. The IIPS can be developed to monitor ASTORs for reasonable flight performance and generate alerts along with additional context when simulated aircraft begin to deviate. Integrating the IIPS with the ATOS may allow subsequent integration with additional simulation platforms as they are integrate into the SMART-NAS test bed. This may allow for seamless systems-level development on a National Airspace System level.
It is also possible to use IIPS to support the transition to autonomy as IIPS develops its valued information at the right time (VIRT) concepts. As autonomous UAV systems continue to develop, there will be situations where the autonomy will fail. It may be possible to have a human operator step in and perform a better recovery of the autonomous vehicle. The IIPS VIRT functionality will optimize the time for a human operator to develop a complete and accurate situational assessment and perform the appropriate recovery actions.

POTENTIAL NON-NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
The IIPS technology contributes to several FAA near-term goals. In order to be of practical use, IIPS must implement conditions that have been identified either as safety enhancements per Commercial Aviation Safety Team Safety Enhancements (CAST SEs), or as accident causes per the Joint Safety Analysis Team Controlled Flight Into Terrain (JSAT CFIT) and Joint Safety Implementation Team Loss of Control (JSIT LOC) documents. The IIPS may be in a special situation where it can implement specific recommendations by the documents not done so to date by the aviation community at large. Notification terminal information and presentation must also be consistent with recommendations and guidelines defined by the same documents. It should be noted that these documents refer to other documents such as the Flight Operational Quality Assurance (FOQA) or that there may be additional documents such as Advisory Circular 25.1322-1 Flightcrew Alerting that must be considered while developing conditions and notifications. A critical consideration for the IIPS is that it may implement a redundant check or may monitor other alerts or notifications so that an adaptive and enhanced alert or notification may be issued when the initial and primary alert fails to initiate remedial actions by the intended audience.

TECHNOLOGY TAXONOMY MAPPING (NASA's technology taxonomy has been developed by the SBIR-STTR program to disseminate awareness of proposed and awarded R/R&D in the agency. It is a listing of over 100 technologies, sorted into broad categories, of interest to NASA.)
Air Transportation & Safety
Algorithms/Control Software & Systems (see also Autonomous Systems)
Autonomous Control (see also Control & Monitoring)
Avionics (see also Control and Monitoring)
Condition Monitoring (see also Sensors)
Man-Machine Interaction
Process Monitoring & Control

Form Generated on 03-07-17 15:43