Problem statement
As infrastructure continues to age, ensuring the structural integrity of
buildings, bridges, and other critical structures becomes paramount. Traditional methods
of structural health monitoring are often manual, costly, and prone to human error. There
is a need for an efficient and automated system that can continuously monitor structures
in real-time, providing early detection of potential issues and enabling predictive
maintenance.
Abstract
The project aims to develop an IoT-based Structural Health Monitoring
(SHM) system to monitor and predict the health of structures. The system will utilize a
network of IoT devices strategically placed on the structure, collecting data on various
parameters such as vibrations, temperature, strain, and humidity. The collected data will
be transmitted to a centralized server for analysis. Advanced analytics and machine
learning algorithms will be employed to detect anomalies, assess the structural health,
and predict potential issues.
Outcome
● Real-time Monitoring: The system will provide continuous, real-time monitoring
of structural health, enabling a proactive approach to maintenance.
● Early Detection of Anomalies: Anomaly detection algorithms will allow for the
early identification of structural issues, preventing catastrophic failures and
minimizing repair costs.
● Predictive Maintenance: By analyzing historical data and patterns, the system
will predict potential future issues, allowing for planned maintenance activities
and reducing downtime.
● User-Friendly Interface: Stakeholders will have access to a user-friendly
interface, providing them with actionable insights, alerts, and comprehensive
reports on the structural health of monitored assets.
● Improved Safety and Cost Savings: The implementation of the IoT-based SHM
system will contribute to increased safety by preventing structural failures and
result in cost savings through optimized maintenance practices.
This project combines IoT technology, data analytics, and machine learning to
create a strong system for structural health monitoring, ensuring the longevity
and safety of critical infrastructure.
Reference
Structural Health Monitoring is an emerging field of science and technology. The process of implementing a damage detection and characterization strategy for engineering structures is referred to as Structural Health Monitoring (SHM). The SHM process involves the observation of a system over time using periodically sampled dynamic response measurements from an array of sensors, the extraction of damagesensitive features from these measurements, and the statistical analysis of these features to determine the current state of system health. The research paper describes the piezo-vibrational sensor and accelerometer sensors to monitor the prototype of bridge
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- Carlos Rodrigues, Carlos Felix, Armindo Lage, Joaquim Figueiras. Development of a longmonitoring system based on FBG sensors applied to concrete bridges. Elsevier, engineering structures 2010.
- A. M. AC. Bandara, R. M.W. A. I. P. Wijesooriya and P.Sustainable solutions for retrofitting of bridges damaged by floods.
- Standard specifications and code of practice for road bridges, section I (general features and design).
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- D. Johnson Victor. Essentials of bridge engineering.