International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 08 | Aug 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.529 | ISO 9001:2008 Certified Journal | Page 3972 Bridge Health Monitoring using IoT Anirudh Sanjay Patil 1 , Amey Ravindra Deshpande 2 , Aditya Shekhar Balapure 3 , Santoshkumar Anjaiah Sirsilla 4 , Vaibhav Mohan Rajuskar 5 , Arpit Uddhavrao Chaudhari 6 1-5 Student, Dept. of Computer Science Engineering, Prof. Ram Meghe Institute of Technology and Research, Maharashtra, India 6 Professor, Dept. of Computer Science Engineering, Prof. Ram Meghe Institute of Technology and Research, Maharashtra, India ---------------------------------------------------------------------***---------------------------------------------------------------------- Abstract – The increase in the demand for the structural health monitoring information led to the development of the structural health monitoring. The bridges may get collapsed or tilted due to concrete problem or due to flooding or due to excess overloading on the bridge. So, there's a requirement to design a system which will monitor the condition of the bridges. Till date, most of the SHM systems face challenges functioning at real-time and therefore the monitoring amenities are yet not established properly. To overcome this problem, Internet of Things is often used, by which we can monitor the system from anywhere. Such a system will help in disaster management and human safety. This system is composed of: Monitoring devices installed in the bridge environment, communication devices connecting the bridge monitoring devices and also a cloud-based server with a dynamic database that stores bridge condition data. This cloud-based server calculates and analyzes data transmitted from the monitoring devices. The system can monitor and analyze in real time the condition of a bridge and its environment, including the water levels, fluctuation in vibrations. The data will be stored and can be checked remotely from any mobile device. This system is validated by employing a test bed in the lab. Key Words: Structural Health Monitoring, Sensors, IoT, Arduino, Data Analysis 1. INTRODUCTION SHM is a vital tool to enhance the safety and maintainability of critical structures like bridges. SHM delivers real time and accurate information about the concerned structure giving detailed information about its condition. Now-a-days due to incidents of bridges or change in deflection of the bridge structure, or bridge piers severely damaged by moisture, or by excess variation in vibration are frequently reported annually. Different disasters and damaged sites require different professional disaster rescue knowledge and equipment so as to realize optimal rescue results. However, lack of data about the damage site can impede information management at the rescue center and operation, leading to poor rescue efficiency or maybe preventable causalities. Generally, to perform SHM, firstly, data must be collected using sensors. The different types of sensors are often used by SHM to generate the signals traveling through solid configurations. Later, this data is collected from the sensors and must be analyzed by applying different signal processing techniques, because a minor variation within the system is triggered by various factors like noises, temperature changes, environmental effects, might cause significant changes within the response from the sensors, concealing the potential signal changes due to structural defects. Therefore, during this study, the IoT, Sensor networks are adopted to resolve the above-mentioned problems of bridge safety information transmission and management by developing an IoT-based bridge safety monitoring system capable of monitoring the environmental data of a bridge and transmitting the data to the mobile devices of bridge safety management. The system developed in this study can help promote the advancement of bridge safety management and control by providing breakthroughs to the above-mentioned problems of conventional systems. For developing bridge monitoring system, following technologies are going to be used. Diverse theories have been proposed and implemented to fulfill distinct requirements of structures. Integration of these various theories has helped not only to enhance the efficiency and performance of the SHM systems but also to scale back the computational time and costs. In order to share data and ensure reliability, the SHM systems use network-based services to coexist and interact with smart interconnected devices that are referred to as the IoT. The IoT brings new opportunities for our society. With the maturity of the IoT, one of the recent challenges within the structural engineering community is development of the IoT SHM systems which can provide a promising solution for rapid, accurate, and low-cost SHM systems. Moreover, the combination of SHM, and therefore the IoT enabled ubiquitous services and powerful processing of sensing data streams beyond the potential of traditional SHM system. In this paper, an entire SHM platform embedded with IoT is proposed to detect the damage in bridges. Following are some of the advantages of SHM system: • The continuous monitoring of the structure since sensors are a part of it.