NASA SBIR 2017 Solicitation


PROPOSAL NUMBER: 171 A3.03-9117
SUBTOPIC TITLE: Future Aviation Systems Safety
PROPOSAL TITLE: Turbulence Awareness via Real-Time Data Mining

SMALL BUSINESS CONCERN (Firm Name, Mail Address, City/State/Zip, Phone)
The Innovation Laboratory, Inc.
2360 Southwest Chelmsford Avenue
Portland, OR 97201 - 2265
(503) 242-1761

PRINCIPAL INVESTIGATOR/PROJECT MANAGER (Name, E-mail, Mail Address, City/State/Zip, Phone)
Dr. Jimmy Krozel
2360 SW Chelmsford Ave
portland, OR 97201 - 2265
(503) 242-1761

CORPORATE/BUSINESS OFFICIAL (Name, E-mail, Mail Address, City/State/Zip, Phone)
Michelle Camarda
2360 Southwest Chelmsford Avenue
Portland, OR 97201 - 2265
(503) 242-1761

Estimated Technology Readiness Level (TRL) at beginning and end of contract:
Begin: 1
End: 2

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)
We propose to create an automated, real-time, remote turbulence detection and diagnostics system for the National Airspace System (NAS). The system is remote in the sense that it does not mount any sensors onboard any aircraft, nor does it add any software to Flight Deck (FD) avionics systems. The system exploits data mining to search through thousands of aircraft surveillance measurements in real-time as aircraft fly in the NAS. We propose to use Automatic Dependent Surveillance ? Broadcast (ADS-B) information as the basis of atmospheric wave and turbulence detection, and combine this with satellite-based visual and infrared imagery to complete the diagnostics. We design the system to access a large network of ADS-B receivers across the NAS. Automated analysis of ADS-B aircraft altitude and velocity information is used to detect the presence of mountain waves and Mountain Wave Turbulence (MWT) in the vicinity of steep terrain as well as atmospheric waves and turbulence from other sources, for instance, Convective Induced Turbulence (CIT). When combined with other weather state information gained by in situ sensors, satellite, and radar-based technology in the NAS, our SBIR effort will allow for a total situational awareness of mountain wave, MWT, and CIT information in the Continental United States (CONUS). Because ADS-B is mandated by 2020, the percentage of aircraft using ADS-B will grow each year, and this in turn will benefit all who use our innovation.

POTENTIAL NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
Our proposed SBIR product helps NASA researchers study technologies and concepts that enhance aviation safety. An example of this would be the identification and mitigation of moderate or severe mountain wave turbulence (MWT) or Convective Induced Turbulence (CIT) detected by our system, distributed to other aircraft via EFBs and PEDs, voice communication warnings, or other mechanisms to tactically adjust the flight levels of nearby aircraft prior to entering into an area of turbulence. NASA can investigate Route Availability (RA), Route Blockage (RB), and flight level congestion monitoring accordingly in NASA decision support tools.

POTENTIAL NON-NASA COMMERCIAL APPLICATIONS (Limit 1500 characters, approximately 150 words)
A commercial service can be customized for distributing data collected by our SBIR system for use by airline dispatchers and ATC coordinators, for instance, for flight planning and safety warnings. Key potential customers include all the commercial airlines, other smaller General Aviation (GA) and corporate flight departments, and service providers who market flight management services to corporate flight departments.

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
Analytical Methods
Data Processing
Process Monitoring & Control

Form Generated on 04-19-17 12:59