Open AccessINTERNET OF THINGS-BASED MULTISENSOR NON-INVASIVE TECHNOLOGY FOR ROBUSMONITORING OF TUNNELING INFRASTRUCTURE
Author(s) -
Ankush Rai,
Jagadeesh Kannan R
Publication year - 2017
Publication title -
asian journal of pharmaceutical and clinical research
Language(s) - English
Resource type - Journals
eISSN - 2455-3891
pISSN - 0974-2441
DOI - 10.22159/ajpcr.2017.v10s1.19745
Subject(s) - computer science , process (computing) , internet of things , risk analysis (engineering) , work (physics) , the internet , computer security , construction engineering , systems engineering , data science , engineering , business , mechanical engineering , world wide web , operating system
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.