SBIR/STTR Award attributes
The ResilienX Team is proposing to develop a suite of innovative services to increase the reliability, robustness,nbsp;and usability of urban weather data. Phasenbsp;Inbsp;focused on our Weather Sensor and Data Monitor (WSDM) service which was integrated into our commercial ISSA platform; FRAIHMWORKreg;nbsp;(Fault Recovery and Isolation, Health Monitoring frameWORK).nbsp;Ournbsp;WSDM Service detectsnbsp;when a weather source is not providing valid or accurate data.nbsp;Thesenbsp;sourcesnbsp;includenbsp;IoT sensors, cameras, crowd sourced data, radar data, or even national, academia and private sector weather feeds. We focused this effort on low altitude, urban environments that have specific complex micro-weather challenges to enable the accelerated deployment of an initial urban wind model capability.nbsp;nbsp;In Phase II, wenbsp;are proposing to advance our capability bynbsp;deployingnbsp;a micro-weather model for the urban environment which considers the structure (i.e.nbsp;building and terrain) usingnbsp;Computational Fluidnbsp;Dynamics (CFD)nbsp;as well as meteorology at low altitudenbsp;to optimizenbsp;placement ofnbsp;new windnbsp;sensors in the selected urban environment. This model, known asnbsp;Servicenbsp;to Providenbsp;OpTimizednbsp;Observation Network (SPOT-ON), is the first known wind sensor placement optimization technique built for scaling across multiple urban domains worldwide.nbsp;nbsp;Once the optimized sensor footprint is calculated,nbsp;we will deploy a series of IoT weather sensors innbsp;a relevantnbsp;urban environment.nbsp;This deployment will enable comparison ofnbsp;weather source data to hundreds of simulated cases of the CFD model under varying weather scenariosnbsp;to identifynbsp;statistical outliers.nbsp;Phase II will also focus on how weathernbsp;contributes to anbsp;UAS operation risk assessment for both strategic and tactical planning.nbsp;Since thenbsp;futurenbsp;weather data and predictions sent to usersnbsp;rely on accurate and reliable wind sensor, verifying the validity of thenbsp;wind sensornbsp;input data will enable trust of the output datanbsp;created by TruWeather Solutionsrsquo;nbsp;urban wind model.nbsp;
