Internet of Things-Based Multisensor Non-Invasive Technology for Robusmonitoring of Tunneling Infrastructure

Abstract

Objective: 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 toward uncertainty in terms of cost, time, and resources.Method: This research work provides major internet of things (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 multisensory networks for monitoring of structure, smart video cameras for geo-traffic monitoring and supported excavation during accidents, and light detection and ranging technology for mapping deformations in the structures. Results and Discussion:The presented research will reduce uncertainties, and information can be used to monitoring future risks. This work extends IoT-based multisensory network system to achieve complex tunnel systems 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.