Embedded system for the recording and visualization of voltage sensor data

Abstract

This thesis presents the design, development and implementation of an advanced strain monitoring system utilizing FPGA technology, aimed at providing accurate, real-time data acquisition, processing, and visualization. The system employs KYOWA KFG-5-120-C1- 11L3M2R strain gauges, a custom-built signal conditioning unit, and the NEEK MAX10 FPGA Development Kit to capture and analyze strain data. Two operational versions are explored: the Serial Communication Version, which interfaces with MATLAB for detailed data analysis on a computer, and the Autonomous Version, which leverages the Nios II processor for on-board data processing and real-time display on the NEEK MAX10's LCD screen. Pilot experiments were conducted to validate the system's performance under various loading conditions, including static loadings, namely compressive loading, preloaded specimen, and 3-point bending tests. The results demonstrated the system's robustness and accuracy in capturing strain data, providing valuable insights into material behavior. Future improvements are proposed, including enhanced sensor integration, wireless communication, automated data analysis, miniaturization, power efficiency, improved user interface, real-time feedback mechanisms, extended data storage, cloud integration, and saving data on the SD card for the autonomous version. This research contributes to the field of structural health monitoring by offering a reliable and versatile solution for real-time strain measurement, highlighting its potential for broader applications in engineering and industrial settings.