Desenvolvimento de sistema para monitoramento da auscultação civil de barragens
Tipo
TCC
Data de publicação
2021-12
Periódico
Citações (Scopus)
Autores
Miguel, Ana Beatriz Tibucheski
Orientador
Lima, Bruno Luis Soares
Título da Revista
ISSN da Revista
Título de Volume
Membros da banca
Programa
Resumo
A presente pesquisa de campo descreve um sistema para monitoramento da auscultação civil de barragens, no que se refere a automação de medições de vazão por sensores e o posterior armazenamento das leituras coletadas. Dessa forma, há a redução de possíveis erros de medida e leitura, tais quais são mais propensos quando feitos manualmente por um colaborador. Especificamente, a presente pesquisa de campo compreende: um sistema de monitoramento da barragem com instrumentação adequada, sensor ultrassônico e sensor infravermelho; o desenvolvimento do algoritmo para coleta de dados dos sensores de auscultação civil, utilizando a plataforma cruzada Arduino Integrated Development Enviroment (IDE); como também o desenvolvimento da aplicação de supervisão e monitoramento da barragem, utilizando o servidor de rede Cayenne; todos com o intuito de melhores resultados para prevenção de acidentes, que no Brasil vem chamando atenção e requisitando cautela. A presente pesquisa mostra o sensor ultrassônico como melhor sensor de monitoramento da auscultação civil de barragens, com erro relativo percentual médio de 0,8% e maior desvio padrão de 0,009 cm, garantindo maior reprodutibilidade e precisão, se comparado ao sensor infravermelho. Esse tipo de monitoramento não possui grande complexidade embarcada, dessa forma o monitoramento tem um custo reduzido, facilitando o acesso a essa tecnologia e ao processo de medições de instrumentação de barragens. A presente pesquisa se situa nos campos da engenharia civil, engenharia elétrica, engenharia de energia e engenharia ambiental.
This field research describes a system for monitoring the civil auscultation of dams, with regard to the automation of flow measurements by sensors and the subsequent storage of collected readings. In this way, there is a reduction in possible measurement and reading errors, which are more likely when done manually by an employee. Specifically, the present field research comprises: a dam monitoring system with adequate instrumentation, ultrasonic sensor and infrared sensor; the development of the algorithm to collect data from civil auscultation sensors, using the Arduino Integrated Development Environment (IDE) cross-platform; as well as the development of the dam supervision and monitoring application, using the Cayenne network server; all with the aim of better results for the prevention of accidents, which in Brazil has been drawing attention and calling for caution. The present research shows the ultrasonic sensor as the best monitoring sensor for civil auscultation of dams, with an average percentage relative error of 0,8% and standard deviation of 0,009 cm, ensuring greater reproducibility and accuracy, when compared to the infrared sensor. This type of monitoring does not have great embedded complexity, so it has a reduced cost, facilitating access to this technology and to the process of measuring dam instrumentation. The present research is situated in the fields of civil engineering, electrical engineering, energy engineering and environmental engineering
This field research describes a system for monitoring the civil auscultation of dams, with regard to the automation of flow measurements by sensors and the subsequent storage of collected readings. In this way, there is a reduction in possible measurement and reading errors, which are more likely when done manually by an employee. Specifically, the present field research comprises: a dam monitoring system with adequate instrumentation, ultrasonic sensor and infrared sensor; the development of the algorithm to collect data from civil auscultation sensors, using the Arduino Integrated Development Environment (IDE) cross-platform; as well as the development of the dam supervision and monitoring application, using the Cayenne network server; all with the aim of better results for the prevention of accidents, which in Brazil has been drawing attention and calling for caution. The present research shows the ultrasonic sensor as the best monitoring sensor for civil auscultation of dams, with an average percentage relative error of 0,8% and standard deviation of 0,009 cm, ensuring greater reproducibility and accuracy, when compared to the infrared sensor. This type of monitoring does not have great embedded complexity, so it has a reduced cost, facilitating access to this technology and to the process of measuring dam instrumentation. The present research is situated in the fields of civil engineering, electrical engineering, energy engineering and environmental engineering
Descrição
Palavras-chave
segurança de barragens , sensores , monitoramento , dam safety , sensors , monitoring