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Related Experiment Video

Updated: Mar 15, 2026

Design and Analysis for Fall Detection System Simplification

Design and Analysis for Fall Detection System Simplification

Published on: April 6, 2020

Advancing Structural Health Monitoring: Accurate PCB Design for IoT-Based Real-Time Damage Detection with Digital

S Adib¹, G Ewart¹, V Vinogradov¹

¹School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UK.

Sensors (Basel, Switzerland)

|March 14, 2026

Summary

A new low-cost Printed Circuit Board (PCB) enables accurate Internet of Things (IoT) data collection for structural monitoring. This enhances Digital Twin (DT) integration for improved infrastructure management.

Keywords:

Internet of Things (IoT)Printed Circuit Board (PCB)digital twin (DT)proactive maintenance structural health monitoring (SHM)

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Last Updated: Mar 15, 2026

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Published on: September 19, 2025

Area of Science:

Engineering
Computer Science

Background:

Advanced structural monitoring is crucial for infrastructure resilience.
Integrating physical structures with Digital Twins (DT) offers proactive management capabilities.
Existing solutions for real-time structural data synchronization can be costly and complex.

Purpose of the Study:

To develop a cost-effective Printed Circuit Board (PCB) for accurate structural monitoring.
To create an Internet of Things (IoT) platform that synchronizes real-time data with Digital Twin (DT) models.
To validate the precision and reliability of the developed PCB system.

Main Methods:

Design and fabrication of a customized, low-cost PCB.
Implementation of a robust communication architecture using MQTT protocols.
Integration with MATLAB for efficient data processing and analysis.
Validation through comparative tests against conventional monitoring systems.

Main Results:

The developed PCB system achieves high accuracy in real-time data capture.
Data deviation from conventional systems was less than 1% across various structural damage scenarios.
Successful synchronization of data between physical structures and their Digital Twin (DT) counterparts was demonstrated.

Conclusions:

Cost-effective PCB solutions can significantly enhance Structural Health Monitoring (SHM).
The developed IoT platform facilitates seamless integration with Digital Twin models for advanced infrastructure management.
This research paves the way for more resilient and proactive infrastructure maintenance strategies.