Considering that multiple such systems might collect data simultaneously it is crucial to automate the data flow through the system from the data acquisition to where it is automatically processed and placed into the database and on the map.
Such a system can produce huge amounts of data (TB) in a day. Multi-channel raw sensor data (microphone, accelerometer, tire pressure sensor, video) and processed results (road profile, crack density, road roughness, micro texture depth, etc.) are available. These data are collected by a multi-modal mobile sensor system, mounted on a vehicle to enable a continuous network-wide health monitoring of the roads.
PAVEMON, built on the GIS platform, writes huge amounts of data (raw, processed, fused) to an Oracle database, and makes them accessible across the web for visualization and spatial analysis. It is designed to visualize and perform spatial analysis on large amounts of multi-modal sensor data that contain surface and subsurface information of pavements. PAVEMON is a GIS-based data management system for PAVEment condition MONitoring.
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