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Relevance of Geo Spatial Intelligence to PLM. What Studies Confirm ?. What Studies Could Not Ascertain ?. Exact impact of Weather Visibility. Wind, Storms, Hail, Snow. Clouds, Fog, Mist. Temperature and humidity. Severe weather. Illumination and obstructions to vision.
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What Studies Could Not Ascertain ? • Exact impact of Weather • Visibility. • Wind, Storms, Hail, Snow. • Clouds, Fog, Mist. • Temperature and humidity. • Severe weather. • Illumination and obstructions to vision. • Exact impact of Terrain • High Altitude • Mountain • Desert • Riverine • Jungle
Environmental Effects On Equipment Management • Terrain Analysis would give • Bottlenecks • Likely systems to be impacted • Wheels, suspension, NVDs, Optics, Barrels, Communication, Power packs etc • Pneumatic, Hydraulic, Electrical etc • Fault probability – Leaks, Jams, Filters, Dry solders, Lubrication, etc • Would impact • Employment – degraded performance/ranges, calibration, attenuation, etc • Mission availability & recycle time • Routine maintenance tasks - before, during, and after operation • Advisories • Periodical maintenance tasks - mission availability, recycle time, oils & lubs • Positioning ofMaintenance & Recovery teams • Stockingof spares, tools etc • Crew carried spares • Trainingof Crew & Maintainers
Environment Impacts RAM • Reliability. Resistance to failure under stated conditions for a specified period of time. • Reliability Hazard analysis, Failure mode and effects analysis (FMEA), Fault tree analysis (FTA), Material Stress and Wear calculations, Fatigue and Creep analysis, Finite Element Analysis, Reliability Prediction, Thermal (Stress) analysis, Corrosion Analysis Simulating these correctly need realistic Geoint parameters. • Availability. Available for specified mission in Area of Operations for a specified period of time. • Maintainability. Maintainable during the mission within a specified period of time. • Geo spatial data gets collated over Equipment Lifecycle of 2-3 decades
Environment Impacts Equipment’s Entire Life Cycle Spatial Data Can Enrich Visibility, Planning, Analysis, AAR, Design, Employment