A Wireless Data Acquisition System Based on MEMS Accelerometers for Operational Modal Analysis of Bridges

Area of Science:

• Structural Engineering
• Wireless Sensor Networks
• Modal Analysis

Background:

• Operational Modal Analysis (OMA) is crucial for bridge health monitoring.
• Existing systems often face challenges with power consumption, cost, and data management.
• There is a need for robust, long-term wireless monitoring solutions for bridges.

Purpose of the Study:

• To present a novel, cost-effective wireless monitoring system for bridge OMA.
• To address challenges in wireless communication for structural health monitoring.
• To demonstrate a system with extended operational lifetime and user-friendly configuration.

Main Methods:

• Development of battery-powered wireless sensors utilizing MEMS accelerometers.
• Integration of low-power Wi-Fi modules for data transmission.
• Implementation of a web-based graphical user interface for system configuration and data access.
• Validation through lateral excitation tests on a model structure and Finite Element Method (FEM) modeling.
• Deployment of a 30-sensor system on a concrete arch bridge for continuous OMA.

Main Results:

• The wireless system demonstrated effective dynamic identification and OMA.
• The system achieved an operational lifetime of at least five years.
• Displacement estimation was successfully performed using both conventional and Kalman filter-based methods.
• The user-friendly interface simplified system configuration and data management.

Conclusions:

• The developed wireless monitoring system is a cost-effective and reliable solution for bridge OMA.
• The system effectively overcomes challenges related to wireless communication, power consumption, and usability.
• The technology offers a promising approach for continuous structural health monitoring of bridges.