Passive sensing and imaging for GIS-PMS: system concept and challenges

A GIS-based data management system has been proposed for pavement management due to the spatial capability in organizing diverse geo-referenced information. The technology can be further enhanced by nondestructive distributed sensing. To target a wide study area, this research proposes a low-cost vibro-acousto passive sensing technique that embeds within roadways for long-term sensing. Using self-sustaining MEM sensors, the technology detects acoustic signals and use relative rating to assess pavement conditions. The detection technique echoes the traditional chain-drag technology in that the same sound detection is deployed. Coupling with previously established AMPIS pavement imaging and distress detection technique, the proposed system can evolve to be a more powerful new-generation GIS-PMS. This paper introduces the system concept and describes the philosophy behind the system and some of the challenges that we are currently attempting to solve.

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