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IMS4 ARWIS
(GRF Implementation view)
Pavol Nechaj Paris, 10-11 July 2019
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MICROSTEP-MIS
COMAPNY PROFILE
• 25 years of experience in environmental
monitoring (meteorology and climatology,
aviation weather systems, etc.)
• Monitoring and information systems in
60+ countries worldwide
• Certified ANSP (METAR/SPECI, TAF,
Aeronautical climatological information,
Briefing)
• Certificate of Competency to Perform
Research and Development
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SESAR
• MicroStep-MIS is an industry partner of LPS SR (part of B4 Consortium of Central European ANSP)
• Involved in four SESAR projects:
PJ.03b SAFE
Airport Safety Nets
PJ.04 TAM
Total Airport Management
PJ.05 RemTow
Remote Tower for Multiple Airports
PJ.18 4DTM
4D Trajectory Management
Single European Sky ATM Research
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• Address the most frequent type of runway safety accident (22 % of all accidents
over the 2010 - 2014 period according to IATA Safety Report)
• Mitigate the risk of runway excursion by on-board and ground systems that could
warn pilots, controllers or both when appropriate
• Enhance runway condition awareness for the Airport Operator using data
from the following sources:
• runway built-in sensors and other MET sensors
• weather-based runway condition model
• aircraft on-board sensors providing runway friction data.
• Expected implementation and compliance with GRF
Safety support tools for avoiding runway excursions
SESAR PJ03B-06
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• Airborne part
• ROAAS (Runway Overrun Awareness and Alerting System) validation for business aircraft by Dassault
• OBACS (On-board Braking Action Computation System) prototype (CORSAIR) by Airbus
• Ground part (RCAMS - Runway condition awareness management system)
• PANSA and UniWarsaw at Gdansk LW Airport
• LPS SR and MicroStep-MIS at Poprad-Tatry Airport (ARWIS)
• ADP at Paris CDG Airport
Safety support tools for avoiding runway excursions
SESAR PJ03B-06
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IMS4 ARWIS
• Continuous assessment of RWY surface
condition (Current RWYCC computation)
• Short term forecast of RWY condition
(Predicted RWYCC computation)
• Dissemination of RCR
• Operational alerts on:
• Deteriorated RWY condition detected or forecast
• System status (e.g. missing or erroneous data)
Airport Runway Weather Information System
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IMS4 ARWIS
Scheme
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IMS4 ARWIS
• Passive IRS31 Pro sensor (Runway
surface/sub surface temperature, water film
height, Deposit code and its description)
• Active ARS31 Pro sensor (Freezing
temperature)
• Continuous runway surface conditions
data
• Only point measurements (pair of sensors
per third of runway)
• Only some contaminant types
Runway condition sensors
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IMS4 ARWIS
• Air temperature
• Relative humidity (Dew point temperature)
• Precipitation• Precipitation indicator (precipitation/no
precipitation)• Disdrometer (type and intensity of
precipitation)• Rain gauge (1min value)
• Global radiation (Calculated cloud coverage)
• Wind direction and wind speed
• Pressure
MET sensors
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IMS4 ARWIS
Runway Forecast Model
NWP
model
RWY condition
sensors data
Runway Surface
Condition Model
Local MET
data
Runway Surface Condition Forecast
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IMS4 ARWIS
HMI
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IMS4 ARWIS
HMI – RCR & RWYCC
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IMS4 ARWIS
HMI – RWY surface condition graph
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IMS4 ARWIS
• Wind direction and speed (at both ends of runway)
• Air temperature
• Dew point temperature
• Global radiation
• Calculated Cloud Coverage (based on global radiation)
• Relative humidity
• Precipitation (1 min total)
HMI – MET data
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IMS4 ARWIS
Runway Condition Report Editor
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IMS4 ARWIS
• User configurable runway
surface alarms
• Combination of measured data
and forecasts
• Priorities from detected hazards
to forecast hazards
Operational Alerts
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IMS4 ARWIS
• Full RCAM scope = only human manual
inspections
• No fully-automated mode (human
validation of disseminated
information/RCR)
• Continuous consolidated data for RWY
condition assessment (whole year
round)
• Prediction of RWY surface condition
Conclusions & Next steps
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• Update of current ARWIS (RWYCC algorithm, RCR Editor)
• Complement decision tree and ML approach
• Integration of aircraft-based braking performance data
• Investigation of mobile sensors (e.g. for contamination coverage estimation)
• Further development of runway surface condition model
• MASPS for RWIS (EUROCAE WG-109)
Conclusions & Next steps
IMS4 ARWIS
MicroStep-MIS Head Office
THANK YOU!
Čavojského 1, 841 04 Bratislava, Slovak
Republic
Tel: +421 2 602 00 100, Fax: +421 2 602 00 180