Desenvolvimento de um sistema de aquisição de dados universal para monitoramento de barragens, com teste de equalização de piezômetros, utilizando internet das coisas

Abstract

The present study aims at the conception and validation of a universal data acquisition system for dam monitoring, focusing on the development of the Universal Board, Signal Conditioning Board, and a specific module for the semi-automation of standpipe piezometer equalization tests. The proposal seeks to offer a low-cost and low-maintenance alternative suitable for structures located in remote and inaccessible regions. To demonstrate the effectiveness of the proposed solution, computational simulations and rigorous laboratory tests were conducted, resulting in successful outcomes in the majority of cases. The methodology adopted in this study is divided into three distinct phases. In the first phase, a literature review encompassing scientific articles and patents related to automated dam monitoring and piezometer equalization tests was performed. The second phase consisted of the specification and testing of electronic components, including the development of firmware and sensor reading logic. Finally, in the third phase, laboratory tests were conducted to validate the developed devices, involving the reading and storage of different sensors, as well as standpipe piezometer equalization tests. The results obtained demonstrated the effectiveness of the proposed solutions, both in computational simulations and laboratory tests. In comparative tests between the developed devices (Universal Board and Signal Conditioning Board) and the commercial device, the differences in readings were less than 1% for the frequency measurement of a vibrating wire sensor and approximately 5% for temperature measurement. Regarding the comparative tests of the standpipe piezometer equalization module, the differences between manual calculations and those performed by the developed module were less than 10%, which is acceptable considering the variability of permeability calculations. Furthermore, these results highlight the good performance and full usability of the created module.