Collaborative mobile sensing and computing for civil infrastructure condition assessment: framework and applications

Jianfei Chen; ZhiQiang Chen

doi:10.1117/12.917511

4 April 2012 Collaborative mobile sensing and computing for civil infrastructure condition assessment: framework and applications

Jianfei Chen, ZhiQiang Chen

Author Affiliations +

Proceedings Volume 8347, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2012; 83472T (2012) https://doi.org/10.1117/12.917511
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2012, San Diego, California, United States

Abstract

Multi-function sensing and imaging devices, GPS, communication and computing devices are being ubiquitously used in field by engineers in civil engineering and emergence response practice. Field engineers, however, still have difficulty to balance between ever-increasing data collection demand and capacity of real-time data processing and knowledge sharing. In addition, field engineers usually work collaboratively in a geospatially large area; however, the existing sensing and computing modalities used in the field are not designed to accommodate this condition. In this paper, we present a solution framework of collaborative mobile sensing and computing (CMSC) for civil infrastructure condition assessment, with the Android-based mobile devices as the basic nodes in the framework with a potential of adding other auxiliary imaging and sensing devices into the network. Difficulties in mixed C++ and Java code programming that are critical to realize the framework are discussed. With a few prototypes illustrated in this paper, we envisage that the proposed CMSC framework will enable seamless integration of sensing, imaging, real-time processing and knowledge discovery in future engineers-centered field reconnaissances and civil infrastructure condition assessment.

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Jianfei Chen and ZhiQiang Chen "Collaborative mobile sensing and computing for civil infrastructure condition assessment: framework and applications", Proc. SPIE 8347, Nondestructive Characterization for Composite Materials, Aerospace Engineering, Civil Infrastructure, and Homeland Security 2012, 83472T (4 April 2012); https://doi.org/10.1117/12.917511

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KEYWORDS

Image processing

Data processing

Image filtering

Gaussian filters

Mobile devices

Civil engineering

Imaging devices

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