965 resultados para Levedos - Aplicações industriais
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Atualmente, as empresas estão expostas a uma crescente competiçao global. Neste cenário, as informações gerenciais são fundamentais para auxiliar tomada de decisões precisas e eficientes. Este trabalho propõe uma sistemática informatizada de custeio adaptada ao contexto organizacional das pequenas e médias empresas (PMEs) industriais. O desenvolvimento desta sistemática ocorreu a partir da identificação das suas necessidades de informação e da análise dos principais métodos de custeio neste tipo de organização. Para testar esta sistemática de custeio foram realizadas aplicações pilotos em três PMEs industriais. Destaca-se como resultado deste trabalho a validação de uma sistemática informatizada de custeio, através da qual os gestores das PMES industriais poderão calcular o custo dos produtos, formar o preço de venda dos mesmos e medir diversos indicadores econômico-financeiros de suas empresas.
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The human activities responsible for the ambient degradation in the modern world are diverse. The industrial activities are preponderant in the question of the impact consequences for brazilian ecosystems. Amongst the human activities, the petroliferous industry in operation in Potiguar Petroliferous Basin (PPB) displays the constant risk of ambient impacts in the integrant cities, not only for the human populations and the environment, but also it reaches the native microorganisms of Caatinga ground and in the mangrove sediment. Not hindering, the elaboration of strategies of bioremediation for impacted areas pass through the knowledge of microbiota and its relations with the environment. Moreover, in the microorganism groups associated to oil, are emphasized the sulfate-reducing prokaryotes (SRP) that, in its anaerobic metabolism, these organisms participate of the sulfate reduction, discharging H2S, causing ambient risks and causing the corrosion of surfaces, as pipelines and tanks, resulting in damages for the industry. Some ancestries of PRS integrate the Archaea domain, group of microorganisms whose sequenced genomes present predominance of extremophilic adaptations, including surrounding with oil presence. This work has two correlated objectives: i) the detection and monitoring of the gene dsrB, gift in sulfate-reducing prokaryotes, through DGGE analysis in samples of mDNA of a mangrove sediment and semiarid soil, both in the BPP; ii) to relate genomic characteristics to the ecological aspects of Archaea through in silico studies, standing out the importance to the oil and gas industry. The results of the first work suggest that the petrodegraders communities of SRP persist after the contamination with oil in mangrove sediment and in semiarid soil. Comparing the populations of both sites, it reveals that there are variations in the size and composition during one year of experiments. In the second work, functional and structural factors are the probable cause to the pressure in maintenance of the conservation of the sequences in the multiple copies of the 16S rDNA gene. Is verified also the discrepancy established between total content GC and content GC of the same gene. Such results relating ribosomal genes and the ambient factors are important for metagenomic evaluations using PCR-DGGE. The knowledge of microbiota associated to the oil can contribute for a better destination of resources by the petroliferous industry and the development of bioremediation strategies. Likewise, search to lead to the best agreement of the performance of native microbiota in biogeochemical cycles in Potiguar Petroliferous Basin ecosystem
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The industrial automation is directly linked to the development of information tecnology. Better hardware solutions, as well as improvements in software development methodologies make possible the rapid growth of the productive process control. In this thesis, we propose an architecture that will allow the joining of two technologies in hardware (industrial network) and software field (multiagent systems). The objective of this proposal is to join those technologies in a multiagent architecture to allow control strategies implementations in to field devices. With this, we intend develop an agents architecture to detect and solve problems which may occur in the industrial network environment. Our work ally machine learning with industrial context, become proposed multiagent architecture adaptable to unfamiliar or unexpected production environment. We used neural networks and presented an allocation strategies of these networks in industrial network field devices. With this we intend to improve decision support at plant level and allow operations human intervention independent
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This work proposes the specification of a new function block according to Foundation Fieldbus standards. The new block implements an artificial neural network, which may be useful in process control applications. The specification includes the definition of a main algorithm, that implements a neural network, as well as the description of some accessory functions, which provide safety characteristics to the block operation. Besides, it also describes the block attributes emphasizing its parameters, which constitute the block interfaces. Some experimental results, obtained from an artificial neural network implementation using actual standard functional blocks on a laboratorial FF network, are also shown, in order to demonstrate the possibility and also the convenience of integrating a neural network to Fieldbus devices
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In recent years, the radio frequency identification technology (RFID) has gained great interest both industrial communities as scientific communities. Its ability to locate and monitor objects, animals and persons with active or passive tags allows easy development, with good cost-benefice and still presents undeniable benefits in applications ranging from logistics to healthcare, robotics, security, among others. Within this aspect what else comes excelling are RFID tags and the antennas used in RFID readers. Most tags have antennas omnidirectional and are usually manufactured as dipoles modified printed. The primary purpose of a project of antenna for tag is to achieve the required input impedance to perform a good marriage impedance with the load impedance of the chip. Already the objective principal in project of antennas for readers is to achieve reduced sizes and structures with good data transmission capacity. This work brings the numerical characterization of antennas for RFID applications, being these divided into tags RFID and antennas for RFID readers. Three tags RFID and two antennas for RFID readers, found in literature, are analyzed. The analysis of these structures is made using the Method of Waves - WCIP. Initial results found in the literature are compared with those obtained through simulations in WCIP with objective to show that the Method of Waves is able to analyze such structures. To illustrate the results obtained in simulations is presented the behavior of electric and magnetic fields. It also performed a literature review on the characteristics and principles of RFID technology. Suggestions for continuity to this work are presented
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Industrial automation networks is in focus and is gradually replacing older architectures of systems used in automation world. Among existing automation networks, most prominent standard is the Foundation Fieldbus (FF). This particular standard was chosen for the development of this work thanks to its complete application layer specification and its user interface, organized as function blocks and that allows interoperability among different vendors' devices. Nowadays, one of most seeked solutions on industrial automation are the indirect measurements, that consist in infering a value from measures of other sensors. This can be made through implementation of the so-called software sensors. One of the most used tools in this project and in sensor implementation are artificial neural networks. The absence of a standard solution to implement neural networks in FF environment makes impossible the development of a field-indirect-measurement project, besides other projects involving neural networks, unless a closed proprietary solution is used, which dos not guarantee interoperability among network devices, specially if those are from different vendors. In order to keep the interoperability, this work's goal is develop a solution that implements artificial neural networks in Foundation Fieldbus industrial network environment, based on standard function blocks. Along the work, some results of the solution's implementation are also presented
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Operating industrial processes is becoming more complex each day, and one of the factors that contribute to this growth in complexity is the integration of new technologies and smart solutions employed in the industry, such as the decision support systems. In this regard, this dissertation aims to develop a decision support system based on an computational tool called expert system. The main goal is to turn operation more reliable and secure while maximizing the amount of relevant information to each situation by using an expert system based on rules designed for a particular area of expertise. For the modeling of such rules has been proposed a high-level environment, which allows the creation and manipulation of rules in an easier way through visual programming. Despite its wide range of possible applications, this dissertation focuses only in the context of real-time filtering of alarms during the operation, properly validated in a case study based on a real scenario occurred in an industrial plant of an oil and gas refinery
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A modelagem de processos industriais tem auxiliado na produção e minimização de custos, permitindo a previsão dos comportamentos futuros do sistema, supervisão de processos e projeto de controladores. Ao observar os benefícios proporcionados pela modelagem, objetiva-se primeiramente, nesta dissertação, apresentar uma metodologia de identificação de modelos não-lineares com estrutura NARX, a partir da implementação de algoritmos combinados de detecção de estrutura e estimação de parâmetros. Inicialmente, será ressaltada a importância da identificação de sistemas na otimização de processos industriais, especificamente a escolha do modelo para representar adequadamente as dinâmicas do sistema. Em seguida, será apresentada uma breve revisão das etapas que compõem a identificação de sistemas. Na sequência, serão apresentados os métodos fundamentais para detecção de estrutura (Modificado Gram- Schmidt) e estimação de parâmetros (Método dos Mínimos Quadrados e Método dos Mínimos Quadrados Estendido) de modelos. No trabalho será também realizada, através dos algoritmos implementados, a identificação de dois processos industriais distintos representados por uma planta de nível didática, que possibilita o controle de nível e vazão, e uma planta de processamento primário de petróleo simulada, que tem como objetivo representar um tratamento primário do petróleo que ocorre em plataformas petrolíferas. A dissertação é finalizada com uma avaliação dos desempenhos dos modelos obtidos, quando comparados com o sistema. A partir desta avaliação, será possível observar se os modelos identificados são capazes de representar as características estáticas e dinâmicas dos sistemas apresentados nesta dissertação
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The control of industrial processes has become increasingly complex due to variety of factory devices, quality requirement and market competition. Such complexity requires a large amount of data to be treated by the three levels of process control: field devices, control systems and management softwares. To use data effectively in each one of these levels is extremely important to industry. Many of today s industrial computer systems consist of distributed software systems written in a wide variety of programming languages and developed for specific platforms, so, even more companies apply a significant investment to maintain or even re-write their systems for different platforms. Furthermore, it is rare that a software system works in complete isolation. In industrial automation is common that, software had to interact with other systems on different machines and even written in different languages. Thus, interoperability is not just a long-term challenge, but also a current context requirement of industrial software production. This work aims to propose a middleware solution for communication over web service and presents an user case applying the solution developed to an integrated system for industrial data capture , allowing such data to be available simplified and platformindependent across the network
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Este trabalho tem como principal objetivo fazer um estudo sobre um sistema comunicação de dados, utilizando-se a rede elétrica existente entre equipamentos, como meio físico em um ambiente industrial inóspito. Nesse caso, foi implementado um piloto em uma refinaria de alumina, localizada em Barcarena no estado do Pará, em uma máquina móvel de empilhamento de bauxita, que possuía um sistema de comunicação de dados via rádio, no qual ocorriam muitas falhas de comunicação devido às interferências eletromagnéticas, RFI, etc. prejudicando o processo de produção da refinaria. Como alternativa, apresentar-se-á uma tecnologia menos susceptível a problema da interferência que permite melhorar o desempenho do sistema de comunicação entre equipamentos. Trata-se da tecnologia PLC - Power Line Communication- que é full-duplex e utiliza modulação OFDM, o que reduz o efeito indesejável de interferências. Na conclusão, foram feitos comentários pertinentes aos resultados obtidos e os esperados acerca da confiabilidade da tecnologia, bem como sua utilização para futuras aplicações, nas diversas áreas onde a mesma pode ser utilizada.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Relatório de estágio apresentada para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Sistemas de Informação Organizacionais
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Nowadays wireless communication has emerged as a tendency in industry environments. In part this interest is due to the ease of deployment and maintenance, which dispenses sophisticated designs and wired infrastructure (which in industrial environment often prohibitively expensive) besides enabling the addition of new applications when compared to their wired counterparts. Despite its high degree of applicability, an industrial wireless sensor network faces some challenges. One of the most challenging problems are its reliability, energy consumption and the environment interference. In this dissertation will discuss the problem of asset analysis in wireless industrial networks for the WirelessHART standard by implementing a monitoring system. The system allows to carry out various activities of independent asset management manufacturers, such as prediction of battery life, maintenance, reliability data, topology, and the possibility of creating new metrics from open and standardized development libraries. Through the implementation of this tool is intended to contribute to integration of wireless technologies in industrial environments.
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O teor de N disponível em solos tratados com lodo de esgoto é um dos fatores restritivos à aplicação do resíduo em grandes volumes na agricultura, e deve ser utilizado nas normas que regulamentam seu uso agrícola com o fim de evitar a contaminação ambiental do solo e corpos d?água com nitrato. Quando se aplica o resíduo pela primeira vez em um solo, a disponibilização de N mineral a partir de compostos orgânicos naturais do solo não é diretamente considerada no cálculo da taxa de aplicação máxima, e este procedimento é comum também nas recomendações de adubação mineral. Porém, a aplicação continuada desses resíduos pode causar efeitos residuais acumulativos na geração de N mineral, o que implicaria recomendações específicas para reaplicações em uma mesma área. O objetivo deste trabalho foi avaliar a disponibilidade potencial de N mineral em um Latossolo previamente tratado com lodos de esgoto e com quatro cultivos sucessivos de milho. Amostras de solo da camada de 0?20 cm foram coletadas em subparcelas de um experimento realizado em campo, entre 1999 e 2002, em Jaguariúna (SP), onde foram aplicados 0, 14.716, 29.432, 58.864 e 117.728 kg ha-1 de lodo de origem urbana (Franca, SP) e 0, 22.700, 45.400, 90.800 e 181.600 kg ha-1 de lodo produzido a partir de esgotos urbanos e industriais (Barueri, SP). As doses foram parceladas em quatro aplicações anuais consecutivas. Em laboratório, essas amostras foram incubadas durante 15 semanas. As análises iniciais dos solos evidenciaram que houve efeito residual das aplicações prévias dos lodos sobre o acúmulo de N orgânico e de nitrato. No final da incubação, houve acúmulo de N inorgânico no solo e diminuição do pH em função da maior geração de nitrato com as doses crescentes dos lodos de esgoto. O potencial de mineralização estimado pelo modelo exponencial simples foi de 28 mg kg-1 de N no tratamento sem lodo, e crescente, de 28 para 100 mg kg-1 de N, nos tratamentos com lodo de Franca, e de 40 para 113 mg kg-1 de N tratamentos com lodo de Barueri. Concluiu-se que os efeitos residuais acumulados no solo devem ser considerados quando se pretender fazer novas aplicações de lodos de esgoto num mesmo local. Os potenciais de mineralização de compostos de N do solo e do lodo que será utilizado, além do acúmulo de nitrato no perfil do solo, devem ser determinados e considerados para o cálculo da dose da próxima aplicação.