SBIR/STTR Research Award

Weather Sensor and Data Monitoring (WSDM) Service

Award identifier 7661d6cedfa75bd2f97738def03a9fa26c13ed47c02f3644aaa4e535b3f7aaedAwarding agency National Aeronautics and Space Administration

Award amount

$124,939

Program and phase

SBIR · Phase I

Award year

2020

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Award details

Awarding agency
National Aeronautics and Space Administration
Branch
Not reported
Recipient company
RESILIENX, INC.
Proposal award date
2020-08-26
Contract end date
2021-03-01
UEI
V8EJCRNBR5B7
Solicitation number
SBIR_20_P1
Topic code
A3

Research abstract

Safe airspace and operations depend on accurate weather data to make critical decisions, plan fleet asset taskings, schedule cargo or people movements, and meet client expectations.nbsp; More reliance on automation means there are less nodes in the workflow where humans can identify anomalies in data.ResilienX is proposing to develop a Weather Sensor and Data Monitor (WSDM) service that we will integrate into our commercial In-time System-wide Safety Assurance (ISSA) platform; FRAIHMWORKTM (Fault Recovery and Isolation, Health Monitoring frameWORK). The goal of the WSDM is to detect when a weather source is not providing valid data. Weather sources may be IoT sensors, cameras, crowd sourced data, radar data, or even national, academia and private sector weather feeds. We will focus this effort on low altitude, urban environments that have specific complex micro-weather challenges and enable the accelerated deployment of an initial urban wind model capability.We will monitor and enhance these weather sources by creating a micro-weather model for the urban environment which considers the structure (i.e. building and terrain) using Computational Fluid Dynamics as well as meteorology at low altitude. Since the weather data and forecasts are based off the input data to this model, verifying the validity of the input data will enable trust of the output.Our vision is to enhance our ISSA platform with an advanced low altitude urban weather model capable of detecting and predicting ldquo;hot spotsrdquo; that drones should stay away from. This initial model will accelerate commercialization of an important data set to identify hazard areas and keep airframes and people safe as we test, demonstrate, and deploy initial UAS and UAM operations in urban environments. We will also provide the capability to verify inputs to this model and identify misbehaving sensors before they have the chance to put bad data in and potentially affect the model.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

6 SBIR/STTR records share this UEI (2020–2025). Reported award amounts total $1,464,475. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration

Agency intelligence

National Aeronautics and Space Administration

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