INTERNET OF THINGS-BASED MULTISENSOR NON-INVASIVE TECHNOLOGY FOR ROBUSMONITORING OF TUNNELING INFRASTRUCTURE

Ankush Rai; Jagadeesh Kannan R

doi:10.22159/ajpcr.2017.v10s1.19745

Authors

Ankush Rai School of Computer Science & Engineering, VIT University, Chennai, Tamil Nadu, India.
Jagadeesh Kannan R School of Computer Science & Engineering, VIT University, Chennai, Tamil Nadu, India.

DOI:

https://doi.org/10.22159/ajpcr.2017.v10s1.19745

Keywords:

Internet of things, Tunnel infrastructure, Data fusion

Abstract

Tunneling is primarily one of the most expensive and uncertain endeavors in civil engineering. Hence, it is essential to explicitly quantify to consider all factors which in aid contribute towards uncertainty in terms of cost, time and resources. This Research work provides major IoT based computational and analytical tools for automating the non-invasive structure monitoring methods to provide decision aids in tunneling. Such, decision aids technologies for tunneling process comprises of multisensory networks for monitoring of structure, smart video cameras for geo-traffic monitoring and supported excavation during accidents, LIDAR technology for mapping deformations in the structures. The ongoing research will reduce uncertainties and information can be used to monitoring future risks. This work extend IoT based multisensory network system to achieve complex tunnel systems in order to develop a framework which will allow the experience gained from past projects to update predictions about cost of construction in conjunction with time as the construction takes place.

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