538 resultados para Engenharia de automação industrial


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Trata-se de uma proposta de automação da manufatura baseada no relatório técnico ISO/TR 1034-1, que sugere a sua adoção de forma gradativa. Procura também estabelecer relacionamentos com o atual estágio das tecnologias de produção e com os negócios da empresa e, por fim, avaliá-la de forma ampla, quer quantitativa quer qualitativamentente.

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O presente trabalho trata do desenvolvimento de um sistema para comunicação bidirecional entre um robô ABB IRB 1400, originalmente desprovido de uma interface de comunicação de dados, e um microcomputador PC padrão. Para a implementação utilizou-se a porta paralela do PC e uma Placa E/S Digital para sinais discretos disponível no controlador do robô. Devido à diferença de caracterìsticas elétricas entre as interfaces utilizadas, foi necessáio projetar um dispositivo que permitisse o ajuste dos niveis de tensão entre os sinais. Osistema foi elaborado visando sua utilização por programas desenvolvidos pelos usuários em ambiente Windows, sendo disponibilizadas rotinas para envio e recebimento de dados através de um protocolo próprio. Na plataforma PC as rotinas estão encapsuladas em um arquivo compilado no formato DDL (Dynamic Link Library). No controlador do robô as rotinas foram criadas em linguagem ABB RAPID. O programa desenvolvido pelo usuário é responsável por todo o processamento das informações, que são então enviadas através do sistema de comunicação a um outro programa específico sendo executado no controlador do robô, o qual interpreta os dados e ativa as tarefas correspondentes. Os resultados obtidos foram satisfatórios, sendo a velocidade de transmissão limitada pela velocidade da Placa E/S do robô. Utilizando-se uma placa ABB DSQC 223, atingiram taxas de transmissão da ordem de 12,5 bytes/s para envio e 6,1 bytes/s para o recbimento de informaçãoes a partir do PC. O sistema demonstrou ser uma alternativa viável para o controle do robô através de um microcomputador PC, apresentando boa confiabilidade, baixo custo e faciliadade de implementação.

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O crescente aumento pela exigência de funcionalidades na implementação dos atuais sistemas de automação predial, vem provocando um aumento da complexidade de projeto e de gerenciamento desses sistemas. O grande desafio que se apresenta atualmente é como, a partir de dispositivos isolados e subsistemas, conseguir sistemas totalmente integrados, os quais permitam economia no investimento inicial, na operação e na manutenção dos sistemas de automação, garantindo um aumento no desempenho geral da edificação Acredita-se que uma etapa importante para avaliar a real necessidade da integração seja projetar o sistema de automação sem foco em uma tecnologia específica, o que não ocorre atualmente, uma vez que, pela carência de ferramentas de apoio ao projeto, as etapas de especificação e projeto geralmente já estão focadas em uma tecnologia disponível para implementação. Este trabalho busca preencher a lacuna deixada pela carência dessas ferramentas, tendo por finalidade a especificação de um framework orientado a objetos para o desenvolvimento de aplicações de automação predial e residencial que permita modelar estes sistemas de forma independente da tecnologia que ele irá utilizar, possibilitando o mapeamento posterior para a mais adequada ou disponível. Serviram como base para o framework proposto a análise de vários padrões abertos disponíveis para implementação de sistemas de automação predial e a especificação ISO/IEC10746, o modelo de referência para processamento distribuído aberto, usado como suporte a metodologia de projeto proposta. O trabalho também discute o mapeamento dos conceitos definidos para uma arquitetura alvo, apresentado um estudo de caso para validação da metodologia proposta.

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O presente trabalho aborda o desenvolvimento e aplicação de um sistema de visão para um robô industrial, dedicado a tarefas de manipulação. Para seu desenvolvimento, foi feita a integração de equipamentos comerciais de captação dedeo com um PC, onde é executada a análise das imagens. Os resultados são enviados ao controlador do robô através de um sistema de comunicação, sendo recebidos por um programa de manipulação que executa as tarefas. Como peça central do sistema de captura e processamento de imagens tem-se o programa RobVis, desenvolvido em linguagem Visual Basic e que tem a função principal de identificar a posição e orientação de objetos a serem manipulados pelo robô, que interpreta as imagens captadas por uma câmera dedeo do tipo CCD, ligada a uma placa de captura de imagens. Após definidas as variáveis de interesse, estas são transmitidas ao controlador do robô, através de um sistema de comunicação IRBCom, desenvolvido no Laboratório de Robótica da UFRGS. No controlador, um programa de manipulação escrito em linguagem Rapid, nativa do manipulador empregado, recebe as variáveis para execução da tarefa de captura de objetos em posições aleatórias e depósito em um ponto de descarga pré-definido. O sistema de visão desenvolvido caracteriza-se como de fácil implementação e aplicação em tarefas de manipulação robótica industrial que exijam a determinação da posição e orientação de objetos de trabalho dentro de uma porção do volume de trabalho do robô, coberta por um sistema de visão.

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A Automação e o processo de Robotização vêm, cada vem mais, se tornando pauta nas discussões de centenas de indústrias brasileiras, onde a tendência clara e identificada é a de investimentos expressivos na melhoria de processos e produtos, por intermédio dessas tecnologias; com foco, sempre que possível, na nacionalização de equipamentos. O presente trabalho tem como objetivo avaliar o modelo proposto por Paul Kennedy (1993) com relação à tendência de Automação e Robotização nas Indústrias Mundiais, analisando o estudo realizado diante de uma economia emergente como a brasileira. Para tanto, foram pesquisadas empresas no Brasil, em diferentes segmentos industriais, o estado da arte em termos de tecnologia de automação e robótica aplicada a processos industriais, e sugerido um modelo diferente do idealizado originalmente por Kennedy. A análise do autor se baseou no teorema que, na matemática discreta, chamamos de “law of the excluded middle”, ou seja, segundo Kennedy, o Brasil estaria vivendo hoje uma migração gradual das indústrias para os países ricos. O Brasil é um exemplo de país industrializado, de economia emergente, que investe intensamente em processos automatizados, mas que não é classificado dentro do grupo desses países ricos. Através da pesquisa realizada será apresentado um novo modelo, no qual países emergentes como o Brasil têm acesso à tecnologia de ponta em automação e robótica, aplicando a mesma em seus processos industriais.

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Projetos de automação industrial são avaliados financeiramente através dos métodos bastante utilizados de Valor Presente Líquido (VPL) e Taxa Interna de Retorno (TIR). Estudos recentes mostram uma tendência para a utilização de outros métodos para realizar esta avaliação. Este trabalho explora o método alternativo de Opções Reais para avaliação desses projetos que busca se aproximar mais do mundo real considerando maior incerteza e flexibilidade do que o VPL. Inicialmente será feita uma revisão de literatura focando o método binomial dentro de Opções Reais. A metodologia proposta é um estudo de caso de um projeto no mercado de cerveja no Brasil, utilizando como fonte uma empresa multinacional de grande porte fornecedora desse projeto. Posteriormente será feita uma análise financeira primeiramente utilizando somente o VPL e posteriormente incorporando o método binomial de Opções Reais, resultando no VPL estendido. O objetivo é precificar a flexibilidade das Opções Reais presentes no contrato de fornecimento do projeto em estudo que normalmente não são consideradas. Com isso pretende-se verificar se o método binomial de Opções Reais faz real diferença no projeto em estudo.

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The artificial lifting of oil is needed when the pressure of the reservoir is not high enough so that the fluid contained in it can reach the surface spontaneously. Thus the increase in energy supplies artificial or additional fluid integral to the well to come to the surface. The rod pump is the artificial lift method most used in the world and the dynamometer card (surface and down-hole) is the best tool for the analysis of a well equipped with such method. A computational method using Artificial Neural Networks MLP was and developed using pre-established patterns, based on its geometry, the downhole card are used for training the network and then the network provides the knowledge for classification of new cards, allows the fails diagnose in the system and operation conditions of the lifting system. These routines could be integrated to a supervisory system that collects the cards to be analyzed

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The petrochemical industry has as objective obtain, from crude oil, some products with a higher commercial value and a bigger industrial utility for energy purposes. These industrial processes are complex, commonly operating with large production volume and in restricted operation conditions. The operation control in optimized and stable conditions is important to keep obtained products quality and the industrial plant safety. Currently, industrial network has been attained evidence when there is a need to make the process control in a distributed way. The Foundation Fieldbus protocol for industrial network, for its interoperability feature and its user interface organized in simple configuration blocks, has great notoriety among industrial automation network group. This present work puts together some benefits brought by industrial network technology to petrochemical industrial processes inherent complexity. For this, a dynamic reconfiguration system for intelligent strategies (artificial neural networks, for example) based on the protocol user application layer is proposed which might allow different applications use in a particular process, without operators intervention and with necessary guarantees for the proper plant functioning

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In the operational context of industrial processes, alarm, by definition, is a warning to the operator that an action with limited time to run is required, while the event is a change of state information, which does not require action by the operator, therefore should not be advertised, and only stored for analysis of maintenance, incidents and used for signaling / monitoring (EEMUA, 2007). However, alarms and events are often confused and improperly configured similarly by developers of automation systems. This practice results in a high amount of pseudo-alarms during the operation of industrial processes. The high number of alarms is a major obstacle to improving operational efficiency, making it difficult to identify problems and increasing the time to respond to abnormalities. The main consequences of this scenario are the increased risk to personal safety, facilities, environment deterioration and loss of production. The aim of this paper is to present a philosophy for setting up a system of supervision and control, developed with the aim of reducing the amount of pseudo-alarms and increase reliability of the information that the system provides. A real case study was conducted in the automation system of the offshore production of hydrocarbons from Petrobras in Rio Grande do Norte, in order to validate the application of this new methodology. The work followed the premises of the tool presented in ISA SP18.2. 2009, called "life cycle alarm . After the implementation of methodology there was a significant reduction in the number of alarms

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From their early days, Electrical Submergible Pumping (ESP) units have excelled in lifting much greater liquid rates than most of the other types of artificial lift and developed by good performance in wells with high BSW, in onshore and offshore environments. For all artificial lift system, the lifetime and frequency of interventions are of paramount importance, given the high costs of rigs and equipment, plus the losses coming from a halt in production. In search of a better life of the system comes the need to work with the same efficiency and security within the limits of their equipment, this implies the need for periodic adjustments, monitoring and control. How is increasing the prospect of minimizing direct human actions, these adjustments should be made increasingly via automation. The automated system not only provides a longer life, but also greater control over the production of the well. The controller is the brain of most automation systems, it is inserted the logic and strategies in the work process in order to get you to work efficiently. So great is the importance of controlling for any automation system is expected that, with better understanding of ESP system and the development of research, many controllers will be proposed for this method of artificial lift. Once a controller is proposed, it must be tested and validated before they take it as efficient and functional. The use of a producing well or a test well could favor the completion of testing, but with the serious risk that flaws in the design of the controller were to cause damage to oil well equipment, many of them expensive. Given this reality, the main objective of the present work is to present an environment for evaluation of fuzzy controllers for wells equipped with ESP system, using a computer simulator representing a virtual oil well, a software design fuzzy controllers and a PLC. The use of the proposed environment will enable a reduction in time required for testing and adjustments to the controller and evaluated a rapid diagnosis of their efficiency and effectiveness. The control algorithms are implemented in both high-level language, through the controller design software, such as specific language for programming PLCs, Ladder Diagram language.

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In order to guarantee database consistency, a database system should synchronize operations of concurrent transactions. The database component responsible for such synchronization is the scheduler. A scheduler synchronizes operations belonging to different transactions by means of concurrency control protocols. Concurrency control protocols may present different behaviors: in general, a scheduler behavior can be classified as aggressive or conservative. This paper presents the Intelligent Transaction Scheduler (ITS), which has the ability to synchronize the execution of concurrent transactions in an adaptive manner. This scheduler adapts its behavior (aggressive or conservative), according to the characteristics of the computing environment in which it is inserted, using an expert system based on fuzzy logic. The ITS can implement different correctness criteria, such as conventional (syntactic) serializability and semantic serializability. In order to evaluate the performance of the ITS in relation to others schedulers with exclusively aggressive or conservative behavior, it was applied in a dynamic environment, such as a Mobile Database Community (MDBC). An MDBC simulator was developed and many sets of tests were run. The experimentation results, presented herein, prove the efficiency of the ITS in synchronizing transactions in a dynamic environment

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The progressing cavity pump artificial lift system, PCP, is a main lift system used in oil production industry. As this artificial lift application grows the knowledge of it s dynamics behavior, the application of automatic control and the developing of equipment selection design specialist systems are more useful. This work presents tools for dynamic analysis, control technics and a specialist system for selecting lift equipments for this artificial lift technology. The PCP artificial lift system consists of a progressing cavity pump installed downhole in the production tubing edge. The pump consists of two parts, a stator and a rotor, and is set in motion by the rotation of the rotor transmitted through a rod string installed in the tubing. The surface equipment generates and transmits the rotation to the rod string. First, is presented the developing of a complete mathematical dynamic model of PCP system. This model is simplified for use in several conditions, including steady state for sizing PCP equipments, like pump, rod string and drive head. This model is used to implement a computer simulator able to help in system analysis and to operates as a well with a controller and allows testing and developing of control algorithms. The next developing applies control technics to PCP system to optimize pumping velocity to achieve productivity and durability of downhole components. The mathematical model is linearized to apply conventional control technics including observability and controllability of the system and develop design rules for PI controller. Stability conditions are stated for operation point of the system. A fuzzy rule-based control system are developed from a PI controller using a inference machine based on Mandami operators. The fuzzy logic is applied to develop a specialist system that selects PCP equipments too. The developed technics to simulate and the linearized model was used in an actual well where a control system is installed. This control system consists of a pump intake pressure sensor, an industrial controller and a variable speed drive. The PI control was applied and fuzzy controller was applied to optimize simulated and actual well operation and the results was compared. The simulated and actual open loop response was compared to validate simulation. A case study was accomplished to validate equipment selection specialist system

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The present research aims at contributing to the area of detection and diagnosis of failure through the proposal of a new system architecture of detection and isolation of failures (FDI, Fault Detection and Isolation). The proposed architecture presents innovations related to the way the physical values monitored are linked to the FDI system and, as a consequence, the way the failures are detected, isolated and classified. A search for mathematical tools able to satisfy the objectives of the proposed architecture has pointed at the use of the Kalman Filter and its derivatives EKF (Extended Kalman Filter) and UKF (Unscented Kalman Filter). The use of the first one is efficient when the monitored process presents a linear relation among its physical values to be monitored and its out-put. The other two are proficient in case this dynamics is no-linear. After that, a short comparative of features and abilities in the context of failure detection concludes that the UFK system is a better alternative than the EKF one to compose the architecture of the FDI system proposed in case of processes of no-linear dynamics. The results shown in the end of the research refer to the linear and no-linear industrial processes. The efficiency of the proposed architecture may be observed since it has been applied to simulated and real processes. To conclude, the contributions of this thesis are found in the end of the text

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The Predictive Controller has been receiving plenty attention in the last decades, because the need to understand, to analyze, to predict and to control real systems has been quickly growing with the technological and industrial progress. The objective of this thesis is to present a contribution for the development and implementation of Nonlinear Predictive Controllers based on Hammerstein model, as well as to its make properties evaluation. In this case, in the Nonlinear Predictive Controller development the time-step linearization method is used and a compensation term is introduced in order to improve the controller performance. The main motivation of this thesis is the study and stability guarantee for the Nonlinear Predictive Controller based on Hammerstein model. In this case, was used the concepts of sections and Popov Theorem. Simulation results with literature models shows that the proposed approaches are able to control with good performance and to guarantee the systems stability

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Due of industrial informatics several attempts have been done to develop notations and semantics, which are used for classifying and describing different kind of system behavior, particularly in the modeling phase. Such attempts provide the infrastructure to resolve some real problems of engineering and construct practical systems that aim at, mainly, to increase the productivity, quality, and security of the process. Despite the many studies that have attempted to develop friendly methods for industrial controller programming, they are still programmed by conventional trial-and-error methods and, in practice, there is little written documentation on these systems. The ideal solution would be to use a computational environment that allows industrial engineers to implement the system using high-level language and that follows international standards. Accordingly, this work proposes a methodology for plant and control modelling of the discrete event systems that include sequential, parallel and timed operations, using a formalism based on Statecharts, denominated Basic Statechart (BSC). The methodology also permits automatic procedures to validate and implement these systems. To validate our methodology, we presented two case studies with typical examples of the manufacturing sector. The first example shows a sequential control for a tagged machine, which is used to illustrated dependences between the devices of the plant. In the second example, we discuss more than one strategy for controlling a manufacturing cell. The model with no control has 72 states (distinct configurations) and, the model with sequential control generated 20 different states, but they only act in 8 distinct configurations. The model with parallel control generated 210 different states, but these 210 configurations act only in 26 distinct configurations, therefore, one strategy control less restrictive than previous. Lastly, we presented one example for highlight the modular characteristic of our methodology, which it is very important to maintenance of applications. In this example, the sensors for identifying pieces in the plant were removed. So, changes in the control model are needed to transmit the information of the input buffer sensor to the others positions of the cell