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Advisor(s)
Abstract(s)
Actualmente, devido à competitividade global e à necessidade de redução de custos, as empresas têm cada vez mais interesse em aumentar a disponibilidade dos seus sistemas de produção. Além disso, a Internet é cada vez mais indispensável para a distribuição de informação em todo o mundo, tornando-se decisivo implementar sistemas de supervisão à distância e que detectem e diagnostiquem falhas. Assim, surgem os conceitos de Industrial Internet of Thingse de Indústria 4.0, em que a partir da grande quantidade de informação disponívelrapidamente podem ser tomadas acções correctivas, impedindo a ocorrência de falhas e avarias.
Por esta razão, o sistema proposto neste trabalho é um sistema de detecção e diagnóstico de falhas via Internet, assente na detecção através do método de verificação de limites fixos e no diagnóstico a partir de árvores de falha com lógica booleana e regras IF-THEN, com a verificação das variáveis lógicas de entrada e saída. Este sistema tem aplicabilidade num vasto número de processos industriais e foi testado no laboratório remoto LabAPI – ISEL. Adicionalmente e dado que, a vibração mecânica ocorre com frequência em vários processos e equipamentos presentes na indústria, procedeu-se à implementação de um sistema de monitorização e análise de vibrações. O sistema de análise de vibrações inclui umespectro da transformada rápida de Fourier e alarmes relativos ao valor eficaz.
Este sistema foi elaborado com recurso a alguns programas, nomeadamente o programa de linguagem gráfica LabVIEW, utilizando o módulo LabVIEW Datalogging and Supervisory Control e o OPC Servers para comunicação entre os autómatos programáveis Siemens S7-1200 e o sistema de detecção e diagnósticode falhas proposto.
Abstract: Currently, due to the global competitiveness and the need for cost reduction, companies are more and more interested in increasing the availability of their production systems. Moreover, Internet is becoming indispensable for the distribution of information throughout the world, becoming critical to implement distance supervision systems which detect and diagnose faults. Thus, the concepts of Industrial Internet of Things and Industry 4.0 arise, where from a large amount of available information corrective actions can be quickly taken, preventing the occurrence of faults and failures. For this reason, the system proposed in this paper is an Internet based fault detection and diagnosis system established by the fixed threshold checking detection method and decision trees with boolean logic and IF-THEN rulesdiagnosis, to check input and output logical variables. This system has applicability in a wide range of industrial processes and has been tested on the remote laboratory LabAPI – ISEL. In addition and given that mechanical vibration occurs frequently in various processes and equipment present in industry, it was implemented a vibration monitoring and analysis system. The vibration analysis system includes a Fast Fourier Transform spectrum and alarms for the root mean square value. This system was developed using a number of software, including the graphical programming software LabVIEW using the Datalogging and Supervisory Control LabVIEW module and the OPC Servers for the communication between Siemens S7-1200 programmable controllers and the monitoring and fault detection system.
Abstract: Currently, due to the global competitiveness and the need for cost reduction, companies are more and more interested in increasing the availability of their production systems. Moreover, Internet is becoming indispensable for the distribution of information throughout the world, becoming critical to implement distance supervision systems which detect and diagnose faults. Thus, the concepts of Industrial Internet of Things and Industry 4.0 arise, where from a large amount of available information corrective actions can be quickly taken, preventing the occurrence of faults and failures. For this reason, the system proposed in this paper is an Internet based fault detection and diagnosis system established by the fixed threshold checking detection method and decision trees with boolean logic and IF-THEN rulesdiagnosis, to check input and output logical variables. This system has applicability in a wide range of industrial processes and has been tested on the remote laboratory LabAPI – ISEL. In addition and given that mechanical vibration occurs frequently in various processes and equipment present in industry, it was implemented a vibration monitoring and analysis system. The vibration analysis system includes a Fast Fourier Transform spectrum and alarms for the root mean square value. This system was developed using a number of software, including the graphical programming software LabVIEW using the Datalogging and Supervisory Control LabVIEW module and the OPC Servers for the communication between Siemens S7-1200 programmable controllers and the monitoring and fault detection system.
Description
Trabalho Final de Mestrado para obtenção do grau de Mestre em Engenharia Mecânica
Keywords
Diagnóstico de falhas Fault diagnosis Autómato programável Programmable controller Internet
Citation
NETO, Íris Margarida Moreira Santos - Diagnóstico de falhas via internet de processos industriais controlados com autómatos programáveis. Lisboa: Instituto Superior de Engenharia de Lisboa, 2016. Dissertação de mestrado.
Publisher
Instituto Superior de Engenharia de Lisboa